In multisite trials, statistical goals often include obtaining individua...
Deploying deep visual models can lead to performance drops due to the
di...
Mobile ground robots require perceiving and understanding their surround...
Effective use of camera-based vision systems is essential for robust
per...
Parallel-elastic joints can improve the efficiency and strength of robot...
Unsupervised domain adaptation (UDA) aims to improve the prediction
perf...
The process of robot design is a complex task and the majority of design...
Most unsupervised domain adaptation (UDA) methods assume that labeled so...
In recent years, reinforcement learning (RL) has shown outstanding
perfo...
Legged robots that can operate autonomously in remote and hazardous
envi...
Deep reinforcement learning produces robust locomotion policies for legg...
Quadrupedal robots are skillful at locomotion tasks while lacking
manipu...
Some of the most challenging environments on our planet are accessible t...
This paper addresses the problem of legged locomotion in non-flat terrai...
Activation functions play an important role in the training of artificia...
Legged robots pose one of the greatest challenges in robotics. Dynamic a...
The ability to recover from a fall is an essential feature for a legged ...