3 papers
cs.AI2026
Trajectory-Level Automatic Curriculum Learning for Legged Locomotion on Unstructured Terrain
Rocky Liu, Tengyu Liu, Baoxiong Jia +4
Training locomotion policies for complex unstructured terrain requires a curriculum to avoid early exploration failures. However, since unstructured terrain lacks explicit difficul…
cs.RO2025
Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework
Deteng Zhang, Junjie Zhang, Yan Sun +4
Considerable advancements have been achieved in SLAM methods tailored for structured environments, yet their robustness under challenging corner cases remains a critical limitation…
cs.GR2024
Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters
Nian Liu, Libin Liu, Zilong Zhang +6
Learning natural and diverse behaviors from human motion datasets remains challenging in physics-based character control. Existing conditional adversarial models often suffer from…