Marc Toussaint
Orcid: 0000-0002-5487-6767Affiliations:
- TU Berlin, Germany
- University of Edinburgh, UK (former)
According to our database1,
Marc Toussaint
authored at least 226 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on twitter.com
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on orcid.org
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on id.loc.gov
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on github.com
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Int. J. Robotics Res., January, 2024
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization.
CoRR, 2024
2023
Int. J. Robotics Res., August, 2023
IEEE Trans. Robotics, February, 2023
IEEE Robotics Autom. Lett., 2023
CoRR, 2023
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments.
CoRR, 2023
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning.
CoRR, 2023
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains.
CoRR, 2023
Neural Field Representations of Articulated Objects for Robotic Manipulation Planning.
CoRR, 2023
CoRR, 2023
Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning.
CoRR, 2023
IROS, 2023
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort.
IROS, 2023
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs.
IEEE Robotics Autom. Lett., 2022
Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks.
IEEE Robotics Autom. Lett., 2022
A Conflict-Driven Interface Between Symbolic Planning and Nonlinear Constraint Solving.
IEEE Robotics Autom. Lett., 2022
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
CoRR, 2022
Planning Coordinated Human-Robot Motions with Neural Network Full-Body Prediction Models.
CoRR, 2022
Path-Tree Optimization in Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort.
Proceedings of the Robotics Research, 2022
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022
2021
Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning.
IEEE Trans. Robotics, 2021
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze.
IEEE Robotics Autom. Lett., 2021
Int. J. Robotics Res., 2021
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation.
CoRR, 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning.
CoRR, 2021
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures.
CoRR, 2021
Visualizing Local Minima in Multi-robot Motion Planning Using Multilevel Morse Theory.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Structured deep generative models for sampling on constraint manifolds in sequential manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning.
Dataset, December, 2020
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning.
IEEE Robotics Autom. Lett., 2020
IEEE Robotics Autom. Lett., 2020
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics.
Frontiers Comput. Neurosci., 2020
CoRR, 2020
Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning.
CoRR, 2020
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning.
CoRR, 2020
CoRR, 2020
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020
Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation.
IEEE Robotics Autom. Lett., 2019
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization.
CoRR, 2019
Rapidly-Exploring Quotient-Space Trees: Motion Planning Using Sequential Simplifications.
Proceedings of the Robotics Research, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach.
Proceedings of the International Conference on Robotics and Automation, 2019
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Int. J. Robotics Res., 2018
Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types.
Frontiers Neurorobotics, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference.
Proceedings of the Geometric and Numerical Foundations of Movements, 2017
Int. J. Robotics Res., 2017
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017
Proceedings of the 5th International Conference on Human Agent Interaction, 2017
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Temporally extended features in model-based reinforcement learning with partial observability.
Neurocomputing, 2016
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down.
CoRR, 2016
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
J. Artif. Intell. Res., 2015
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Robotics Research, 2015
Proceedings of the Robotics Research, 2015
Automatic testing and minimax optimization of system parameters for best worst-case performance.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Discovering temporally extended features for reinforcement learning in domains with delayed causalities.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection.
CoRR, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Entropy-based strategies for physical exploration of the environment's degrees of freedom.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Topology-based representations for motion planning and generalization in dynamic environments with interactions.
Int. J. Robotics Res., 2013
Autom., 2013
Fast motion planning from experience: trajectory prediction for speeding up movement generation.
Auton. Robots, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract).
Proceedings of the IJCAI 2013, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013
2012
J. Mach. Learn. Res., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Learned graphical models for probabilistic planning provide a new class of movement primitives.
Frontiers Comput. Neurosci., 2012
Proceedings of the Robotics: Science and Systems VIII, 2012
Proceedings of the Robotics: Science and Systems VIII, 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress.
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
Proceedings of the Usability Professionals 2012, 2012
2011
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2010
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010
2009
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Multi-class image segmentation using conditional random fields and global classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Proceedings of the UAI 2008, 2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data.
Proceedings of the IJCAI 2007, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Optimization of sequential attractor-based movement for compact behaviour generation.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007
Proceedings of the British Machine Vision Conference 2007, 2007
2006
Theor. Comput. Sci., 2006
Neural Comput., 2006
Probabilistic inference for solving discrete and continuous state Markov Decision Processes.
Proceedings of the Machine Learning, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Fourth IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2006), 2006
2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Learning discontinuities with products-of-sigmoids for switching between local models.
Proceedings of the Machine Learning, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Foundations of Genetic Algorithms, 8th International Workshop, 2005
2004
J. Math. Model. Algorithms, 2004
2003
Inf. Process. Lett., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003
Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants.
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
CoRR, 2002
On the Evolution of Phenotypic Exploration Distributions.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001