We present RoboHive, a comprehensive software platform and ecosystem for research in
the field of Robot Learning and Embodied Artificial Intelligence. Our platform encompasses …

Dexterous manipulation has been a long-standing challenge in robotics. While machine
learning techniques have shown some promise, results have largely been currently limited …

Robotic systems that aspire to operate in uninstrumented real-world environments must
perceive the world directly via onboard sensing. Vision-based learning systems aim to …

Tactile and visual perception are both crucial for humans to perform fine-grained interactions
with their environment. Developing similar multi-modal sensing capabilities for robots can …

Performing dexterous tasks with a multi fingered robotic hand remains challenging. Tactile
sensors provide touch states and object features for multifingered tasks, yet the variety in …

Humans seemingly incorporate potential touch signals in their perception. Our goal is to
equip robots with a similar capability, which we term\ourmodel.\ourmodel aims to predict the …

Tactile object identification is essential in environments where vision is occluded or when
intrinsic object properties such as weight or stiffness need to be discriminated between. The …

The goal of personal robotics is to have robots in homes performing everyday tasks
efficiently to improve our quality of life. Towards this end, manipulators are needed which …

Аннотация Международный проект Индустрия 4.0 (на основе интеллектуальной
когнитивной робототехники и Интернета вещей (IoT) как четвертая промышленная …