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Found 5 papers, 2 papers with code
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
To facilitate the development of ORL, we benchmarked 11 ORL algorithms in the realistic quadrupedal locomotion dataset.
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
To verify the feasibility of learning from the generated data, we develop a new joint Attribute Prompt Learning and Text Matching Learning (APTM) framework, considering the shared knowledge between attribute and text.
Ranked #1 on
Text based Person Retrieval
on CUHK-PEDES
A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control
Due to their ability to adapt to different terrains, quadruped robots have drawn much attention in the research field of robot learning.
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning
The deep learning model extracts key points during animal motion from videos.
Real-World Dexterous Object Manipulation based Deep Reinforcement Learning
In this stage, we solved the task of using a real robot to manipulate the cube to a given trajectory.
