Navigating a nonholonomic robot in a cluttered environment requires extremely accurate
perception and locomotion for collision avoidance. This paper presents NeuPAN: a real …

1) Restrictive Inflation is designed to ensure the managibility of the generated convex
polytope. Based on its characteristic of few variables but rich constraints, an efficient and …

Efficient navigation in unknown and dynamic environments is crucial for expanding the
application domain of mobile robots. The core challenge stems from the non-availability of a …

The autonomous driving industry is expected to grow by over 20 times in the coming decade
and, thus, motivate researchers to delve into it. The primary focus of their research is to …

Safe and efficient obstacle avoidance in complex traffic situations is a major challenge for
real-time motion control of connected and automated vehicles (CAVs). Limited processing …

Generating safe, smooth, and efficient trajectories is a fundamental and difficult task for
multiple unmanned ground vehicles (MUGVs) in unstructured narrow interaction scenarios …

The robotics community is increasingly interested in autonomous aerial transportation.
Unmanned aerial vehicles with suspended payloads have advantages over other systems …

In recent times, an increasing number of researchers have been devoted to utilizing deep
neural networks for end-to-end flight navigation. This approach has gained traction due to its …

Multi-robot teams have attracted attention from industry and academia for their ability to
perform collaborative tasks in unstructured environments, such as wilderness rescue and …

This paper presents a trajectory planning method for wheeled robots with fixed steering axes
while the steering angle of each wheel is constrained. In the past, All-Wheel-Steering (AWS) …