Balakumar Sundaralingam

According to our database1, Balakumar Sundaralingam authored at least 18 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
DefGraspSim: Simulation-based grasping of 3D deformable objects.
CoRR, 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR, 2021

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections.
CoRR, 2021

Interpreting and Predicting Tactile Signals for the SynTouch BioTac.
CoRR, 2021

2020
Multifingered Grasp Planning via Inference in Deep Neural Networks: Outperforming Sampling by Learning Differentiable Models.
IEEE Robotics Autom. Mag., 2020

Benchmarking In-Hand Manipulation.
IEEE Robotics Autom. Lett., 2020

Joint Space Control via Deep Reinforcement Learning.
CoRR, 2020

In-Hand Object-Dynamics Inference using Tactile Fingertips.
CoRR, 2020

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks.
CoRR, 2020

Learning Continuous 3D Reconstructions for Geometrically Aware Grasping.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Relaxed-rigidity constraints: kinematic trajectory optimization and collision avoidance for in-grasp manipulation.
Auton. Robots, 2019

Learning Latent Space Dynamics for Tactile Servoing.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Learning of Tactile Force Estimation through Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization.
Proceedings of the Robotics: Science and Systems XIII, 2017

Planning Multi-fingered Grasps as Probabilistic Inference in a Learned Deep Network.
Proceedings of the Robotics Research, The 18th International Symposium, 2017


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