7 papers
JevVLA: Jev-Inspired Energy-Based Adaptation for Vision-Language-Action Policies
Wei Wang, Wenqiao Zhang, Zheqi Lv +6
Vision-language-action (VLA) policies can select among discrete candidates for pick-and-place manipulation or generate continuous action chunks for motion control. Improving both f…
DR-VLA: Learning Human-Like Quadruped Navigation from Egocentric Web Videos via Domain-Invariant Scene Representations
Jun Tian, Yingjie Niu, Ruo Chen +2
Quadruped robots performing outdoor deliveries must interpret complex scenes, anticipate changes, and navigate in socially compliant ways. Robot demonstrations are costly to collec…
LynxScenes: A Large-Scale Real-World Benchmark for Outdoor Wheel-Legged Robot Perception, Navigation, Imagination and Reconstruction
Jun Tian, Hao Wu, Ruo Chen +5
Wheel-legged robots operating in outdoor spaces shared with humans require accurate perception, socially compliant navigation, future-scene reasoning, and scene reconstruction. How…
From Pixels to Executable Physics: Behavior-Grounded World Models for Embodied Action Consequence Prediction
Ruo Chen, Jiahua Pang, Yingjie Niu +4
In outdoor environments, varying terrain and contact conditions can cause identical action commands to produce different motion outcomes for quadruped robots. Predicting these outc…
DR-APO: Decoupled-Representation Advantage-Guided Policy Optimization from Continuous Control to Embodied Navigation
Runhua Zhang, Yingjie Niu, Chao Li
Policy representations in reinforcement learning have expanded beyond Gaussian policies to diffusion and flow-matching based generative policies. However, existing RL methods remai…
Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds
Mingjian Gao, Zhaocheng Li, Haoyang Huang +7
Persistent spatial memory enables embodied agents to navigate familiar environments across repeated visits. However, targets may move while unobserved, including during navigation,…
Fly360: Omnidirectional Obstacle Avoidance within Drone View
Xiangkai Zhang, Dizhe Zhang, WenZhuo Cao +5
Obstacle avoidance in unmanned aerial vehicles (UAVs), as a fundamental capability, has gained increasing attention with the growing focus on spatial intelligence. However, current…