Moving in complex environments is an essential capability of intelligent mobile robots. Decades of research and engineering have been dedicated to developing sophisticated …
M Wigness, S Eum, JG Rogers, D Han… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Research in autonomous driving has benefited from a number of visual datasets collected from mobile platforms, leading to improved visual perception, greater scene understanding …
Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, eg, in cluttered home environments or in human-occupied public …
X Xiao, J Biswas, P Stone - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
This letter presents a learning-based approach to consider the effect of unobservable world states in kinodynamic motion planning in order to enable accurate high-speed off-road …
Existing autonomous robot navigation systems allow robots to move from one point to another in a collision-free manner. However, when facing new environments, these systems …
Classical autonomous navigation systems can control robots in a collision-free manner, oftentimes with verifiable safety and explainability. When facing new environments …
While classical approaches to autonomous robot navigation currently enable operation in certain environments, they break down in tightly constrained spaces, eg, where the robot …
The process of designing costmaps for off-road driving tasks is often a challenging and engineering-intensive task. Recent work in costmap design for off-road driving focuses on …
A Datar, C Pan, X Xiao - arXiv preprint arXiv:2306.11611, 2023 - arxiv.org
Most autonomous navigation systems assume wheeled robots are rigid bodies and their 2D planar workspaces can be divided into free spaces and obstacles. However, recent wheeled …