Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Many practically relevant robot grasping problems feature a target object for which all grasps
are occluded, eg, by the environment. Single-shot grasp planning invariably fails in such …
are occluded, eg, by the environment. Single-shot grasp planning invariably fails in such …
Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand
Dexterous robotic manipulation remains a challenging domain due to its strict demands for
precision and robustness on both hardware and software. While dexterous robotic hands …
precision and robustness on both hardware and software. While dexterous robotic hands …
Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach
Dexterous in-hand manipulation is an essential skill of production and life. Nevertheless, the
highly stiff and mutable features of contacts cause limitations to real-time contact discovery …
highly stiff and mutable features of contacts cause limitations to real-time contact discovery …
Sampling-Based Model Predictive Control for Contact-Rich Manipulation
S Venkatesh, B Bianchini, A Aydinoglu… - IROS 2023 Workshop on … - openreview.net
For robotic systems to be useful in everyday lives, they need to perform dexterous
manipulation tasks in messy human environments. Enumerating all the possible physical …
manipulation tasks in messy human environments. Enumerating all the possible physical …