6 accepted papers
Object navigation for mobile robots typically assumes that targets are visible and paths are unobstructed. However, real-world scenarios often involve occluded targets like objects hidden behind doors or inside containers. Such scenarios require interactive navigation and manipulation by mobile mani…
The biomimetic research of vertebrates is challenging in both mechanism design and control methods. Motivated by natural acrobatics exhibited by cats and humans, this paper presents a generic multi-joint continuous spinal system and a learning-based algorithm for agile and accurate control. The spin…
Autonomous exploration is essential for the effective deployment of quadrotors in various applications. However, existing approaches face significant challenges in large-scale environments, particularly in balancing global coverage efficiency and computational overhead. These limitations often resul
Autonomous exploration in unknown environments is a crucial challenge for various applications of unmanned aerial vehicles (UAVs). However, in large-scale scenarios, existing methods suffer from inefficient environmental information acquisition, computationally expensive exploration planning, and in
Quadrotors, while versatile, are vulnerable to unpredictable environmental disturbances, including turbulence, gusts, and ground effects, making precise path-following control a formidable challenge. This letter introduces an adaptive neural network-based predictive control framework tailored for qu
Autonomous exploration plays a crucial role in robotics applications like rescue and scene reconstruction. This work addresses the challenges of autonomous exploration in intricate unknown environments by presenting a novel UAV autonomous exploration method based on a new concept of the view-region.…