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Amir Masoud Ghalamzan Esfahani

3 accepted papers

2022

Proactive slip control by learned slip model and trajectory adaptation

CoRL 2022poster

This paper presents a novel control approach to dealing with a slip during robotic manipulative movements. Slip is a major cause of failure in many robotic grasping and manipulation tasks. Existing works use increased gripping forces to avoid/control slip. However, this may not be feasible, e.g., be…

Cited by 15SourcecodeScholar
2020

Planning Maximum-Manipulability Cutting Paths

RA-L 2020

This letter presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination points. The robot has no prior knowledge of the surface shape, but observes it from a noisy point cloud. We consider the mul

Cited by 23SourceScholar
2017

Guiding Trajectory Optimization by Demonstrated Distributions

RA-L 2017

Trajectory optimization is an essential tool for motion planning under multiple constraints of robotic manipulators. Optimization-based methods can explicitly optimize a trajectory by leveraging prior knowledge of the system and have been used in various applications such as collision avoidance. How

Cited by 60SourceScholar