10 papers
Follow Everything: A Leader-Following and Obstacle Avoidance Framework with Goal-Aware Adaptation
Qianyi Zhang, Shijian Ma, Boyi Liu +2
Robust and flexible leader-following is a critical capability for robots to integrate into human society. While existing methods struggle to generalize to leaders of arbitrary form…
Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input
Michael Ziegltrum, Jianhao Jiao, Tianhu Peng +2
Robotic parkour provides a compelling benchmark for advancing locomotion over highly challenging terrain, including large discontinuities such as elevated steps. Recent approaches…
ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models
Cheng Yang, Jianhao Jiao, Lingyi Huang +8
Vision-Language-Action (VLA) models rely on current observations, including images, language instructions, and robot states, to predict actions and complete tasks. While accurate v…
SanD-Planner: Sample-Efficient Diffusion Planner in B-Spline Space for Robust Local Navigation
Jincheng Wang, Lingfan Bao, Tong Yang +3
The challenge of generating reliable local plans has long hindered practical applications in highly cluttered and dynamic environments. Key fundamental bottlenecks include acquirin…
OpenNavMap: Multi-Session Appearance-Based Topometric Mapping for Scalable Visual Navigation
Jianhao Jiao, Changkun Liu, Jingwen Yu +4
Scalable and maintainable maps are fundamental to large-scale navigation and the long-term deployment of robots in real-world environments. However, conventional maps that explicit…
UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering
Yusen Xie, Zhenmin Huang, Jianhao Jiao +2
In this paper, we propose UniGS, a unified map representation and differentiable framework for high-fidelity multimodal 3D reconstruction based on 3D Gaussian Splatting. Our framew…