11 papers
PhyPush: One Push is All You Need for Sensorless Physical Property Estimation with Physics-Guided Transformers
Koyo Fujii, Luis Figueredo, Praminda Caleb-Solly +4
Accurately estimating object mass and friction is fundamental to reliable robotic manipulation. While interactive perception is powerful, most approaches rely on specialized hardwa…
G-MAPP: GPU-accelerated Multi-Agent Planning and Perception for Reactive Motion Generation
Tanmay Bishnoi, Riddhiman Laha, Tobias Löw +3
Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the computational complexity of collision-free motion generation, existing met…
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…
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…
Just in time Informed Trees: Manipulability-Aware Asymptotically Optimized Motion Planning
Kuanqi Cai, Liding Zhang, Xinwen Su +6
In high-dimensional robotic path planning, traditional sampling-based methods often struggle to efficiently identify both feasible and optimal paths in complex, multi-obstacle envi…