Motion planning is still an open problem for many disciplines, eg, robotics, autonomous
driving, due to their need for high computational resources that hinder real-time, efficient …

The force modulation of robotic manipulators has been extensively studied for several
decades. However, it is not yet commonly used in safety-critical applications due to a lack of …

We propose a many-core GPU implementation of robotic motion planning formulated as a
semi-infinite optimization program. Our approach computes the constraints and their …

综合运用现代医学和工程科学方法, 研制重塑受损脑神经环路的康复机器人,
是人机共融机器人学前沿研究的重要科学目标, 也是当前国际上亟待破解的难题之一, 面临医学 …

In this work, we present an approach to planning for humanoid mobility. Humanoid mobility
is a challenging problem, as the configuration space for a humanoid robot is intractably …

We present a novel motion planning algorithm for pouring a liquid body from a source to a
target container. Our approach uses a receding-horizon optimization strategy that considers …

Reacting to environment changes is a big challenge for real world robot applications. This
paper presents a novel approach that allows the robot to quickly adapt to changes …

A high redundant non-holonomic humanoid mobile dual-arm manipulator system (MDAMS)
is presented in this paper, where the motion planning to realize “human-like” autonomous …

As robots become more prevalent in smaller manufacturing and maintenance settings, it will
become important to enable them to learn new tasks quickly without explicit programming by …

We present an approach that allows a robot to generate trajectories to perform a set of
instances of a task using few physical trials. Specifically, we address manipulation tasks …