A critical task for developing safe autonomous driving stacks is to dete...
Realistic and controllable traffic simulation is a core capability that ...
DDIM inversion has revealed the remarkable potential of real image editi...
Contrastive learning-based vision-language pre-training approaches, such...
We study the problem of verification and synthesis of robust control bar...
Drivers have a responsibility to exercise reasonable care to avoid colli...
Autonomous vehicles (AVs) need to reason about the multimodal behavior o...
Autonomous vehicles must often contend with conflicting planning
require...
Controllable and realistic traffic simulation is critical for developing...
Simulation is the key to scaling up validation and verification for robo...
Despite the success of fully-supervised human skeleton sequence modeling...
To enable safe autonomous vehicle (AV) operations, it is critical that a...
Trajectory prediction is a critical functionality of autonomous systems ...
We present a stepping stabilization control that addresses external push...
This paper details the theory and implementation behind practically ensu...
Robot-assisted feeding in household environments is challenging because ...
Motion planning for autonomous robots and vehicles in presence of
uncont...
We study constrained reinforcement learning (CRL) from a novel perspecti...
Attention mechanisms have been widely applied to cross-modal tasks such ...
We study the multi-agent safe control problem where agents should avoid
...
In robotic applications, the control, and actuation deal with a continuo...
We consider a multi-robot system with a team of collaborative robots and...
Motion planning in environments with multiple agents is critical to many...
Cross-modal knowledge distillation deals with transferring knowledge fro...
This paper proposes a data-driven method for powered prosthesis control ...
There is a growing interest in building autonomous systems that interact...
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) met...
Sentiment analysis on large-scale social media data is important to brid...