Jean-Jacques E. Slotine

Orcid: 0000-0002-7161-7812

Affiliations:
  • MIT, Cambridge, USA


According to our database1, Jean-Jacques E. Slotine authored at least 222 papers between 1985 and 2024.

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Bibliography

2024
Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics.
IEEE Trans. Robotics, 2024

Dynamic Adaptation Gains for Nonlinear Systems With Unmatched Uncertainties.
IEEE Control. Syst. Lett., 2024

2023
Control-oriented meta-learning.
Int. J. Robotics Res., September, 2023

Robust feedback motion planning via contraction theory.
Int. J. Robotics Res., August, 2023

Fast Obstacle Avoidance Based on Real-Time Sensing.
IEEE Robotics Autom. Lett., March, 2023

Generalization as Dynamical Robustness-The Role of Riemannian Contraction in Supervised Learning.
Trans. Mach. Learn. Res., 2023

Coriolis Factorizations and their Connections to Riemannian Geometry.
CoRR, 2023

Stable Modular Control via Contraction Theory for Reinforcement Learning.
CoRR, 2023

Contraction Properties of the Global Workspace Primitive.
CoRR, 2023

k-Contraction in a Generalized Lurie System.
CoRR, 2023

MinMax Networks.
CoRR, 2023

Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Control-Oriented Dynamical Structure from Data.
Proceedings of the International Conference on Machine Learning, 2023

Scaling Spherical CNNs.
Proceedings of the International Conference on Machine Learning, 2023

Unmatched Control Barrier Functions: Certainty Equivalence Adaptive Safety.
Proceedings of the American Control Conference, 2023

2022
Robust and brain-like working memory through short-term synaptic plasticity.
PLoS Comput. Biol., December, 2022

Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in Crowds.
IEEE Trans. Robotics, 2022

Generalization of the Multiplicative and Additive Compounds of Square Matrices and Contraction Theory in the Hausdorff Dimension.
IEEE Trans. Autom. Control., 2022

A Sufficient Condition for $k$-Contraction of the Series Connection of Two Systems.
IEEE Trans. Autom. Control., 2022

Nonparametric adaptive control and prediction: theory and randomized algorithms.
J. Mach. Learn. Res., 2022

Universal Adaptive Control of Nonlinear Systems.
IEEE Control. Syst. Lett., 2022

From Obstacle Avoidance To Motion Learning Using Local Rotation of Dynamical Systems.
CoRR, 2022

Stability Guarantees for Continuous RL Control.
CoRR, 2022

Generalization in Supervised Learning Through Riemannian Contraction.
CoRR, 2022

RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarially Robust Stability Certificates can be Sample-Efficient.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Adaptive Variants of Optimal Feedback Policies.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Optimizing Trajectories with Closed-Loop Dynamic SQP.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The role of optimization geometry in single neuron learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies.
IEEE Trans. Robotics, 2021

Contraction Analysis of Nonlinear DAE Systems.
IEEE Trans. Autom. Control., 2021

Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction.
Neural Comput., 2021

Learning stabilizable nonlinear dynamics with contraction-based regularization.
Int. J. Robotics Res., 2021

Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation.
IEEE Control. Syst. Lett., 2021

Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety.
IEEE Control. Syst. Lett., 2021

Adaptive Nonlinear Control With Contraction Metrics.
IEEE Control. Syst. Lett., 2021

Recursive Construction of Stable Assemblies of Recurrent Neural Networks.
CoRR, 2021

Random features for adaptive nonlinear control and prediction.
CoRR, 2021

Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd.
CoRR, 2021

Learning-based Adaptive Control via Contraction Theory.
CoRR, 2021

Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview.
Annu. Rev. Control., 2021

Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Regret Bounds for Adaptive Nonlinear Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Sliding on Manifolds: Geometric Attitude Control with Quaternions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamical Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning-based Adaptive Control using Contraction Theory.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Safe Motion Planning with Tubes and Contraction Metrics.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Serial interconnections of 1-contracting and 2-contracting systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Deep MinMax Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows.
IEEE Trans. Signal Process., 2020

Achieving stable dynamics in neural circuits.
PLoS Comput. Biol., 2020

A Continuous-Time Analysis of Distributed Stochastic Gradient.
Neural Comput., 2020

Universal Adaptive Control for Uncertain Nonlinear Systems.
CoRR, 2020

Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation.
CoRR, 2020

An Ode to an ODE.
CoRR, 2020

The Reflectron: Exploiting geometry for learning generalized linear models.
CoRR, 2020

Time Dependence in Non-Autonomous Neural ODEs.
CoRR, 2020

Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics.
CoRR, 2020

Ode to an ODE.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Stability Certificates from Data.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Avoidance of Convex and Concave Obstacles With Convergence Ensured Through Contraction.
IEEE Robotics Autom. Lett., 2019

Higher-order algorithms for nonlinearly parameterized adaptive control.
CoRR, 2019

Contraction Metrics in Adaptive Nonlinear Control.
CoRR, 2019

Dynamic Tube MPC for Nonlinear Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Linear Matrix Inequalities for Physically Consistent Inertial Parameter Identification: A Statistical Perspective on the Mass Distribution.
IEEE Robotics Autom. Lett., 2018

Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks.
Neural Comput., 2018

Inverse Stability Problem and Applications to Renewables Integration.
IEEE Control. Syst. Lett., 2018

Contraction and Robustness of Continuous Time Primal-Dual Dynamics.
IEEE Control. Syst. Lett., 2018

Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H<sup>∞</sup> Control.
IEEE Control. Syst. Lett., 2018

Notes on stable learning with piecewise-linear basis functions.
CoRR, 2018

Learning Stabilizable Dynamical Systems via Control Contraction Metrics.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Cooperative Adaptive Control for Cloud-Based Robotics.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust Collision Avoidance via Sliding Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

The UNAV, a Wind-Powered UAV for Ocean Monitoring: Performance, Control and Validation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust Powered Descent with Control Contraction Metrics.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Particle observers for state estimation and adaptation in deterministic systems with random piecewise constant inputs.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis.
IEEE Trans. Signal Process., 2017

Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design.
IEEE Trans. Autom. Control., 2017

Qualitative Stability of Nonlinear Networked Systems.
IEEE Trans. Autom. Control., 2017

Analytical SLAM without linearization.
Int. J. Robotics Res., 2017

Diffusion Maps Kalman Filter.
CoRR, 2017

Observability in Inertial Parameter Identification.
CoRR, 2017

Linear Matrix Inequalities for Rigid-Body Inertia Parameter Identification: A Statistical Perspective.
CoRR, 2017

Inverse Stability Certificate and Applications to Emergency Control of Power Systems.
CoRR, 2017

On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems.
CoRR, 2017

Control of a flexible, surface-piercing hydrofoil for high-speed, small-scale applications.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Robust online motion planning via contraction theory and convex optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Particle Observers for Contracting Dynamical Systems.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Sparse Control for Dynamic Movement Primitives.
CoRR, 2016

2015
A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter.
IEEE Trans. Autom. Control., 2015

Computation in Dynamically Bounded Asymmetric Systems.
PLoS Comput. Biol., 2015

Simultaneous Localization And Mapping Without Linearization.
CoRR, 2015

Emergence of bimodality in controlling complex networks.
CoRR, 2015

Unifying Robot Trajectory Tracking with Control Contraction Metrics.
Proceedings of the Robotics Research, 2015

Robotic manipulation of micro/nanoparticles using optical tweezers with velocity constraints and stochastic perturbations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Transverse contraction criteria for existence, stability, and robustness of a limit cycle.
Syst. Control. Lett., 2014

Universal Symmetry in Complex Network Control.
CoRR, 2014

Control Contraction Metrics: Differential L2 Gain and Observer Duality.
CoRR, 2014

Network motifs emerge from interconnections that favor stability.
CoRR, 2014

Output-feedback control of nonlinear systems using control contraction metrics and convex optimization.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014

2013
A Contraction Theory Approach to Singularly Perturbed Systems.
IEEE Trans. Autom. Control., 2013

Dynamically stable control of articulated crowds.
J. Comput. Sci., 2013

Control Contraction Metrics and Universal Stabilizability.
CoRR, 2013

Composite adaptive posicast control for a class of LTI plants with known delay.
Autom., 2013

A quorum sensing inspired algorithm for dynamic clustering.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convergence and cluster synchronization in networks of discrete-time and asynchronous systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Contraction analysis of nonlinear Hamiltonian systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Large gain stability and adaptive expansion estimation in Extremum Seeking.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A model of stimulus induced epileptic spike-wave discharges.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

2012
Competition Through Selective Inhibitory Synchrony.
Neural Comput., 2012

A contraction theory-based analysis of the stability of the Extended Kalman Filter
CoRR, 2012

Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle
CoRR, 2012

Synchronization and quorum sensing in a swarm of humanoid robots
CoRR, 2012

Effect of correlations on network controllability
CoRR, 2012

Control centrality and hierarchical structure in complex networks
CoRR, 2012

Multiclass Learning with Simplex Coding.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Contraction theory approach to generalized decentralized cyclic algorithms for global formation acquisition and control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A Graphical Approach to Prove Contraction of Nonlinear Circuits and Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

Collective Stability of Networks of Winner-Take-All Circuits.
Neural Comput., 2011

Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making.
Neural Comput., 2011

Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds.
J. WSCG, 2011

Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment.
Int. J. Robotics Res., 2011

A contraction theory approach to singularly perturbed systems with application to retroactivity attenuation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
How Synchronization Protects from Noise.
PLoS Comput. Biol., 2010

On Learning, Uncertainty and Synchronization in Stochastic Neural Ensembles
CoRR, 2010

Adaptive Jacobian vision based control for robots with uncertain depth information.
Autom., 2010

CPG-based control of a turtle-like underwater vehicle.
Auton. Robots, 2010

Design of the dynamic stability properties of the collective behavior of articulated bipeds.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

On synchronization of coupled Hopf-Kuramoto oscillators with phase delays.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

High performance adaptive control in the presence of time delays.
Proceedings of the American Control Conference, 2010

Factorizations and partial contraction of nonlinear systems.
Proceedings of the American Control Conference, 2010

2009
Cooperative Robot Control and Concurrent Synchronization of Lagrangian Systems.
IEEE Trans. Robotics, 2009

Visual Grouping by Neural Oscillator Networks.
IEEE Trans. Neural Networks, 2009

A Contraction Theory Approach to Stochastic Incremental Stability.
IEEE Trans. Autom. Control., 2009

Decentralized, Adaptive Coverage Control for Networked Robots.
Int. J. Robotics Res., 2009

Region-based shape control for a swarm of robots.
Autom., 2009

Design of Dynamical Stability Properties in Character Animation.
Proceedings of the Sixth Workshop on Virtual Reality Interactions and Physical Simulations, 2009

Unifying Geometric, Probabilistic, and Potential Field Approaches to Multi-robot Coverage Control.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Dynamic region following formation control for a swarm of robots.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Task-space setpoint control of robots with dual task-space information.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Audio classification from time-frequency texture.
Proceedings of the IEEE International Conference on Acoustics, 2009

Visual grouping by neural oscillators.
Proceedings of the IEEE International Conference on Acoustics, 2009

Continuous non-negative matrix factorization for time-dependent data.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Absolute Stability and Complete Synchronization in a Class of Neural Fields Models.
SIAM J. Appl. Math., 2008

Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection.
Neural Networks, 2008

Fast Wavelet-Based Visual Classification
CoRR, 2008

Adaptive task-space regulation of rigid-link flexible-joint robots with uncertain kinematics.
Autom., 2008

Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming.
Autom., 2008

Selforganization of character behavior by mixing of learned movement primitives.
Proceedings of the 13th International Fall Workshop on Vision, Modeling, and Visualization, 2008

From Theory to Practice: Distributed Coverage Control Experiments with Groups of Robots.
Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

Consensus learning for distributed coverage control.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Region following formation control for multi-robot systems.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

FastWavelet-Based Visual Classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Real-Time Synthesis of Body Movements Based on Learned Primitives.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

2007
Stable concurrent synchronization in dynamic system networks.
Neural Networks, 2007

Geometry of the superior colliculus mapping and efficient oculomotor computation.
Biol. Cybern., 2007

Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Adaptive Vision and Force Tracking Control of Constrained Robots with Structural Uncertainties.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Models for Global Synchronization in CPG-based Locomotion.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Decentralized, Adaptive Control for Coverage with Networked Robots.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Adaptive Vision based Tracking Control of Robots with Uncertainty in Depth Information.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Cooperative robot control and synchronization of Lagrangian systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Compositional Contraction Analysis of Resetting Hybrid Systems.
IEEE Trans. Autom. Control., 2006

Adaptive Jacobian tracking control of robots with uncertainties in kinematic, dynamic and actuator models.
IEEE Trans. Autom. Control., 2006

A theoretical study of different leader roles in networks.
IEEE Trans. Autom. Control., 2006

Contraction analysis of time-delayed communications and group cooperation.
IEEE Trans. Autom. Control., 2006

Adaptive Tracking Control for Robots with Unknown Kinematic and Dynamic Properties.
Int. J. Robotics Res., 2006

Fast computation with neural oscillators.
Neurocomputing, 2006

Motion Primitives for Robotic Flight Control
CoRR, 2006

Adaptive Jacobian tracking control of rigid-link electrically driven robots based on visual task-space information.
Autom., 2006

Adaptive Vision and Force Tracking Control for Constrained Robots.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Adaptive Jacobian PID Regulation for Robots with Uncertain Kinematics and Actuator Model.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Adaptive Jacobian Motion and Force Tracking Control for Constrained Robots with Uncertainties.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Algorithmic search for contraction metrics via SOS programming.
Proceedings of the American Control Conference, 2006

2005
Model reaching adaptive control for vibration isolation.
IEEE Trans. Control. Syst. Technol., 2005

Discrete nonlinear observers for inertial navigation.
Syst. Control. Lett., 2005

On partial contraction analysis for coupled nonlinear oscillators.
Biol. Cybern., 2005

Adaptive Jacobian Tracking Control of Robots based on Visual Task-space Information.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004
Telemanipulation with Time Delays.
Int. J. Robotics Res., 2004

Experiments on Adaptive Control of Robots with Uncertain Kinematics and Dynamics.
Proceedings of the Experimental Robotics IX, 2004

Approximate Jacobian Adaptive Control for Robot Manipulators.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Methodological remarks on contraction theory.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Experimental study of a novel adaptive controller for active vibration isolation.
Proceedings of the 2004 American Control Conference, 2004

2003
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.
Neural Comput., 2003

2001
Modularity, evolution, and the binding problem: a view from stability theory.
Neural Networks, 2001

2000
Control system design for mechanical systems using contraction theory.
IEEE Trans. Autom. Control., 2000

1999
Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images.
Proceedings of the Scale-Space Theories in Computer Vision, 1999

On the stability of nonlinear reaction-diffusion processes.
Proceedings of the 5th European Control Conference, 1999

1998
On Contraction Analysis for Non-linear Systems.
Autom., 1998

Towards Force-Reflecting Teleoperation Over the Internet.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

Wavelet interpolation networks.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Does the brain use sliding variables for the control of movements?
Biol. Cybern., 1997

Designing force reflecting teleoperators with large time delays to appear as virtual tools.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

Using wave variables for system analysis and robot control.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

A simple strategy for opening an unknown door.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

Real-time path planning using harmonic potentials in dynamic environments.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

1995
Stable Adaptive Control of Robot Manipulators Using "Neural" Networks.
Neural Comput., 1995

Space-frequency localized basis function networks for nonlinear system estimation and control.
Neurocomputing, 1995

Experiments in Hand-Eye Coordination Using Active Vision.
Proceedings of the Experimental Robotics IV, The 4th International Symposium, Stanford, California, USA, June 30, 1995

1994
Fast Algorithms for Near-Minimum-Time Control of Robot Manipulators.
Int. J. Robotics Res., 1994

1992
Gaussian networks for direct adaptive control.
IEEE Trans. Neural Networks, 1992

1991
Performance in Adaptive Manipulator Control.
Int. J. Robotics Res., 1991

Sliding observers for robot manipulators.
Autom., 1991

Adaptive sliding control of an experimental underwater vehicle.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1989
Improving the efficiency of time-optimal path-following algorithms.
IEEE Trans. Robotics Autom., 1989

Composite adaptive control of robot manipulators.
Autom., 1989

Kinematic control and visual display of redundant teleoperators.
Proceedings of the IEEE International Conference on Systems, 1989

Experimental Studies of Adaptive Manipulator Control.
Proceedings of the Experimental Robotics I, 1989

Computational algorithms for adaptive compliant motion.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

1988
Robot analysis and control.
Autom., 1988

Indirect adaptive robot control.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

Inverse kinematic algorithms for redundant systems.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

1987
Supervisory control architecture for underwater teleoperation.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Adaptive manipulator control a case study.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Adaptive strategies in constrained manipulation.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

Practical design of VSS controller using balance condition-Robotic application.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987

1986
On modeling and adaptation in robot control.
Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986

1985
Robust robot control with bounded input torques.
J. Field Robotics, 1985

Robustness issues in robot control.
Proceedings of the 1985 IEEE International Conference on Robotics and Automation, 1985


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