4 accepted papers
Along-edge driving, where an autonomous vehicle follows road edges, is increasingly common in urban environments and particularly challenging on curvy roads due to rapidly changing curvature. This paper presents a hierarchical trajectory planning framework that integrates Cartesian and Frenet frames
Training and deploying reinforcement learning (RL) policies for robots is a complex task, requiring careful design of reward functions, sim-to-real transfer, and performance evaluation across various robot configurations. These tasks traditionally demand significant human expertise and effort. To ad
The design of wings is crucial for tailless Flapping-wing robots (FWRs), as these robots rely exclusively on their wings for lift generation and body control. However, the current methodology for wing design primarily depends on the experience and heuristics of engineers. This study aims to explore
Insects and hummingbirds exhibit remarkable agility, including full body flip maneuvers. Achieving similar maneuvers of bio-inspired tailless flapping-wing robots (FWRs) is challenging due to the complex dynamics, inherent nonlinearities and control issues. This paper presents an nonlinear model pre