Search Results for author:
Found 6 papers, 4 papers with code
SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing
Our approach involves using Reinforcement Learning (RL) to train a robot to compliantly manipulate a knife, by reducing the contact forces exerted by the food items and by the cutting board.
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic assembly, using a soft wrist that can operate more safely and tolerate lower-frequency control signals than a rigid one.
Vision-Language Interpreter for Robot Task Planning
By generating PDs from language instruction and scene observation, we can drive symbolic planners in a language-guided framework.
Elastic Decision Transformer
This paper introduces Elastic Decision Transformer (EDT), a significant advancement over the existing Decision Transformer (DT) and its variants.
An analytical diabolo model for robotic learning and control
In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system.
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Transfer reinforcement learning (RL) aims at improving the learning efficiency of an agent by exploiting knowledge from other source agents trained on relevant tasks.
