With their unique point‐contact ability with the ground and exceptional adaptability to
complex terrains, quadruped robots have become a focal point in the fields of automation …

Test-time training adapts to a new test distribution on the fly by optimizing a model for each
test input using self-supervision. In this paper, we use masked autoencoders for this one …

Self-attention performs well in long context but has quadratic complexity. Existing RNN
layers have linear complexity, but their performance in long context is limited by the …

Legged robots have the potential to expand the reach of autonomy beyond paved roads. In
this work, we consider the difficult problem of locomotion on challenging terrains using a …

We propose to address quadrupedal locomotion tasks using Reinforcement Learning (RL)
with a Transformer-based model that learns to combine proprioceptive information and high …

Learning contact-rich manipulation skills is essential. Such skills require the robots to
interact with the environment with feasible manipulation trajectories and suitable compliance …

Modern robotic systems are endowed with superior mobility and mechanical skills that make
them suited to be employed in real-world scenarios, where interactions with heavy objects …

Mobile manipulation in robotics is challenging due to the need to solve many diverse tasks,
such as opening a door or picking-and-placing an object. Typically, a basic first-principles …

Agile-legged robots have proven to be highly effective in navigating and performing tasks in
complex and challenging environments, including disaster zones and industrial settings …

Running birds reveal secrets for legged robot design | Science Robotics Skip to main content
news careers commentary Journals Science brought to you byGoogle Indexer Log in Become …