This paper presents a modular robot learning system for robotics education, comprising a reconfigurable physical manipulator and an automatically configuring 3D simulation framework. Unlike prior modular manipulator systems that require manual software re-parameterization after hardware reconfiguration, the proposed system detects the assembled topology in real time through Dynamixel motor ID sequencing and renders a synchronized…

When two robot systems can share understanding using any agreed knowledge, within the constraints of the system’s communication protocol, the approach may lead to a common improvement. This has persuaded numerous new research inquiries in human-robot collaboration. We have built up a framework prepared to do independent following and performing table-best protest object manipulation with…