The intricate kinematics of the human hand enable simultaneous grasping and manipulation
of multiple objects, essential for tasks, such as object transfer and in-hand manipulation …

Humanoid robots hold great promise in assisting humans in diverse environments and
tasks, due to their flexibility and adaptability leveraging human-like morphology. However …

Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse,
and real‐time computer graphics, the transformation of the performing arts, particularly in …

Aiming to replicate human-like dexterity, perceptual experiences, and motion patterns, we
explore learning from human demonstrations using a bimanual system with multifingered …

Manipulating objects with two multi-fingered hands has been a long-standing challenge in
robotics, attributed to the contact-rich nature of many manipulation tasks and the complexity …

In this work, we aim to learn a unified vision-based policy for a multi-fingered robot hand to
manipulate different objects in diverse poses. Though prior work has demonstrated that …

We need to look at our shoelaces as we first learn to tie them but having mastered this skill,
can do it from touch alone. We call this phenomenon" sensory scaffolding": observation …

Anthropomorphic hand manipulation is a quintessential example of embodied intelligence in
robotics, presenting a notable challenge due to its high degrees of freedom and complex …

We introduce BiGym, a new benchmark and learning environment for mobile bi-manual
demo-driven robotic manipulation. BiGym features 40 diverse tasks set in home …

Acquiring a multi-task imitation policy in 3D manipulation poses challenges in terms of
scene understanding and action prediction. Current methods employ both 3D representation …