We propose a novel B-spline trajectory optimization method for autonomou...
Head-to-head autonomous racing is a challenging problem, as the vehicle ...
Decentralized control schemes are increasingly favored in various domain...
Autonomous agents (robots) face tremendous challenges while interacting ...
Autonomous racing is a challenging problem, as the vehicle needs to oper...
Autonomous car racing is a challenging task, as it requires precise
appl...
Safety-guaranteed motion planning is critical for self-driving cars to
g...
Delays endanger safety of autonomous systems operating in a rapidly chan...
Traversing intersections is a challenging problem for autonomous vehicle...
This paper introduces a novel social preference-aware decentralized safe...
The problem of offline reinforcement learning focuses on learning a good...
With the increasing emphasis on the safe autonomy for robots, model-base...
With the advancement of affordable self-driving vehicles using complicat...
Autonomous vehicles face tremendous challenges while interacting with hu...
Recently, autonomous driving has made substantial progress in addressing...
Planning safe trajectories under uncertain and dynamic conditions makes ...
Self-driving vehicles must be able to act intelligently in diverse and
d...
For autonomous vehicles, effective behavior planning is crucial to ensur...
Motion Planning under uncertainty is critical for safe self-driving. In ...
Modern high-definition LIDAR is expensive for commercial autonomous driv...
Constrained Iterative Linear Quadratic Regulator (CILQR), a variant of I...
How autonomous vehicles and human drivers share public transportation sy...
In this work, we propose a hierarchical reinforcement learning (HRL)
str...
Detecting surrounding vehicles by low-cost LIDAR has been drawing enormo...
A safe and robust on-road navigation system is a crucial component of
ac...
Recent research in robot exploration and mapping has focused on sampling...
A key problem of robotic environmental sensing and monitoring is that of...
Recent research in multi-robot exploration and mapping has focused on
sa...