“The Transformers! Robots in disguise! The Transformers! More than meets the eye!” If you’re of a certain vintage, that hummable theme will transport you back to a world of epic battles between the ...

The machines continue to rise. Researchers used artificial intelligence (AI) to train a robotic program to do parts of a gallbladder removal surgery, or a cholecystectomy. The robotic surgeon ...

With the increasing demand for efficient and flexible robotic exploration solutions, Reinforcement Learning (RL) is becoming a promising approach in the field of autonomous robotic exploration.

Abstract: Recent results suggest that very large datasets of teleoperated robot demonstrations can be used to train transformer-based models that have the potential to generalize to new scenes, robots ...

Abstract: Active vision learning aims to develop intelligent systems capable of actively exploring and understanding their surroundings to optimize detection performance. Although current research has ...

@ARTICLE{10874177, author={Liu, Yangjun and Liu, Sheng and Chen, Binghan and Yang, Zhi-Xin and Xu, Sheng}, journal={IEEE Transactions on Robotics}, title={Fusion-Perception-to-Action Transformer: ...