6 citations · 8 across the 8 of their papers we have counts for
5 papers · 1 filter
Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
Yuanchang Liang, Xiaobo Wang, Kai Wang +5
In Vision-Language-Action (VLA) models, action chunking (i.e., executing a sequence of actions without intermediate replanning) is a key technique to improve robotic manipulation a…
Robotic Control Optimization Through Kernel Selection in Safe Bayesian Optimization
Lihao Zheng, Hongxuan Wang, Xiaocong Li +2
Control system optimization has long been a fundamental challenge in robotics. While recent advancements have led to the development of control algorithms that leverage learning-ba…
Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes
Hongxuan Wang, Xiaocong Li, Lihao Zheng +2
Automatic controller tuning is attractive for robotics and mechatronic systems whose dynamics are difficult to model accurately, but direct black-box optimization can be unsafe bec…
Evolving R2 to R2+: Optimal, Delayed Line-of-sight Vector-based Path Planning
Yan Kai Lai, Prahlad Vadakkepat, Cheng Xiang
A vector-based any-angle path planner, R2, is evolved in to R2+ in this paper. By delaying line-of-sight, R2 and R2+ search times are largely unaffected by the distance between the…
R2: Heuristic Bug-Based Any-angle Path-Planning using Lazy Searches
Yan Kai Lai, Prahlad Vadakkepat, Abdullah Al Mamun +2
R2 is a novel online any-angle path planner that uses heuristic bug-based or ray casting approaches to find optimal paths in 2D maps with non-convex, polygonal obstacles. R2 is com…