Science Daily November 1, 2018
A team of researchers in the US (Cornell University, University of Pennsylvania) has developed a modular robot system capable of autonomously completing high-level tasks by reactively reconfiguring to meet the needs of a perceived, a priori unknown environment. The system integrates perception, high-level planning, and modular hardware and is validated in three hardware demonstrations. Given a high-level task specification, a modular robot autonomously explores an unknown environment, decides when and how to reconfigure, and manipulates objects to complete its task. The research has begun to lay the groundwork for modular self-reconfigurable robots to address tasks in the real world Video … read more. Open Access TECHNICAL ARTICLE
The robot undergoes transformation (sped up by eight times). Credit: Tarik TosunÂ