Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Contact-rich manipulation remains one of the most challenging tasks in robotics, requiring precise control under noisy ...
Engineering Sciences
Related Projects as Principal Investigator
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Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Contact-rich manipulation remains one of the most challenging tasks in robotics, requiring precise control under noisy ...
Ingenieurwissenschaften 
Parameter-Efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
IngenieurwissenschaftenInformatik-
Neural Scene Understanding For Robotics
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
IngenieurwissenschaftenInformatik
