Ensuring safety in dynamic multi-agent systems is challenging due to lim...
There has been growing interest in deep reinforcement learning (DRL)
alg...
We consider perception-based control using state estimates that are obta...
Driving under varying road conditions is challenging, especially for
aut...
The design of Autonomous Vehicle software has largely followed the
Sense...
Imitation learning has been widely applied to various autonomous systems...
Autonomous vehicles (AVs) are being rapidly introduced into our lives.
H...
Predicting the motion of dynamic agents is a critical task for guarantee...
Safety-critical Autonomous Systems require trustworthy and transparent
d...
Autonomous racing with scaled race cars has gained increasing attention ...
Robot localization is an inverse problem of finding a robot's pose using...
Deep reinforcement learning (DRL) is a promising method to learn control...
Although robotics courses are well established in higher education, the
...
Learning-based controllers, such as neural network (NN) controllers, can...
Autonomous Racing awards agents that react to opponents' behaviors with ...
While autonomous vehicles are being increasingly introduced into our liv...
The 3rd Japan Automotive AI Challenge was an international online autono...
Autonomous systems are composed of several subsystems such as mechanical...
The rising popularity of self-driving cars has led to the emergence of a...
High-performance autonomy often must operate at the boundaries of safety...
The rising popularity of driver-less cars has led to the research and
de...
Urban Air Mobility, the scenario where hundreds of manned and Unmanned
A...
With increasing urban population, there is global interest in Urban Air
...
Balancing performance and safety is crucial to deploying autonomous vehi...
In 2005 DARPA labeled the realization of viable autonomous vehicles (AVs...
An Implantable Cardioverter Defibrillator (ICD) is a medical device used...