Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously
difficult for robots because they require precision, careful coordination of contact forces, and …

Key to rich, dexterous manipulation in the real world is the ability to coordinate control
across two hands. However, while the promise afforded by bimanual robotic systems is …

This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

Replicating human-like dexterity in robot hands represents one of the largest open problems
in robotics. Reinforcement learning is a promising approach that has achieved impressive …

Achieving human-level dexterity in robotics remains a critical open problem. Even simple
dexterous manipulation tasks pose significant difficulties due to the high number of degrees …

Bimanual manipulation with tactile feedback will be key to human-level robot dexterity.
However, this topic is less explored than single-arm settings, partly due to the availability of …

Complex manipulation tasks often require robots with complementary capabilities to
collaborate. We introduce a benchmark for L anguag E-Conditioned M ulti-robot MA …

Performing bimanual tasks with dual robotic setups can drastically increase the impact on
industrial and daily life applications. However, performing a bimanual task brings many …

This paper studies the prescribed time control of dual-arm robots without velocity
measurement. Firstly, according to the position/force constraint relationship between the …

Robotic dual-arm manipulation often requires close cooperation between the arms. Dual-
arm manipulation tasks are always difficult to program in advance, and then, executed …