51 citations · 64 across the 26 of their papers we have counts for
7 papers · 1 filter
Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness
Bingkun Huang, Yuhe Gong, Zewen Yang +2
Reinforcement learning (RL) approaches based on Markov Decision Processes (MDPs) are predominantly applied in the robot joint space, often relying on limited task-specific informat…
Imitation-Guided Bimanual Planning for Stable Manipulation under Changing External Forces
Kuanqi Cai, Chunfeng Wang, Zeqi Li +5
Robotic manipulation in dynamic environments often requires seamless transitions between different grasp types to maintain stability and efficiency. However, achieving smooth and a…
GELATO: Multi-Instruction Trajectory Reshaping via Geometry-Aware Multiagent-based Orchestration
Junhui Huang, Yuhe Gong, Changsheng Li +2
We present GELATO -- the first language-driven trajectory reshaping framework to embed geometric environment awareness and multi-agent feedback orchestration to support multi-instr…
GeoPF: Infusing Geometry into Potential Fields for Reactive Planning in Non-trivial Environments
Yuhe Gong, Riddhiman Laha, Luis Figueredo
Reactive intelligence remains one of the cornerstones of versatile robotics operating in cluttered, dynamic, and human-centred environments. Among reactive approaches, potential fi…
Unifying Complementarity Constraints and Control Barrier Functions for Safe Whole-Body Robot Control
Rafael I. Cabral Muchacho, Riddhiman Laha, Florian T. Pokorny +2
Safety-critical whole-body robot control demands reactive methods that ensure collision avoidance in real-time. Complementarity constraints and control barrier functions (CBF) have…
GIFT: Geometry-Induced Functional Transfer for Category-level Object Manipulation
Cristiana de Farias, Luis Figueredo, Riddhiman Laha +5
Robotic manipulation of unfamiliar objects in new environments is challenging due to limited generalisation capabilities. We propose a new skill transfer framework, GIFT (Geometry-…
GeoFIK: A Fast and Reliable Geometric Solver for the IK of the Franka Arm based on Screw Theory Enabling Multiple Redundancy Parameters
Pablo C. Lopez-Custodio, Yuhe Gong, Luis F. C. Figueredo
Modern robotics applications require an inverse kinematics (IK) solver that is fast, robust and consistent, and that provides all possible solutions. Currently, the Franka robot ar…