Abstract: Methods and systems for joint execution of complex tasks by a human and a robotic system are described herein. In one aspect, a collaborative robotic system includes a payload platform having a loading surface configured to carry a payload shared with a human collaborator. The collaborative robotic system navigates a crowded environment, while sharing a payload with the human collaborator. In another aspect, the collaborative robotic system measures forces in a plane parallel to the loading surface of the payload platform to infer navigational cues from the human collaborator. In some instances, the collaborative robotic system overrides the navigational cues of the human collaborator to avoid collisions between an object in the environment and any of the robotic system, the human collaborator, and the shared payload.
Abstract: A system includes a machine tool 10, a robot 25 having a camera 31, and a transfer device 35 having the robot 25 mounted thereon, and an identification figure is arranged in a machining area of the machine tool 10.
Type:
Application
Filed:
September 10, 2020
Publication date:
October 20, 2022
Applicants:
DMG MORI CO., LTD., Skylla Technologies
Inventors:
Yuta OBA, Tsutomu SAKURAI, Hideki NAGASUE, Masaaki NAKAGAWA, Kota WEAVER, Anand PARWAL
Abstract: A system includes a machine tool 10, a robot 25 having a camera 31, and a transportation device 35 having the robot 25 mounted thereon, and an identification figure is arranged in a machining area of the machine tool 10.
Type:
Application
Filed:
October 30, 2020
Publication date:
May 5, 2022
Applicants:
DMG MORI CO., LTD., Skylla Technologies
Inventors:
Yuta OBA, Tsutomu SAKURAI, Hideki NAGASUE, Masaaki NAKAGAWA, Hideaki TANAKA, Kota WEAVER, Anand PARWAL
Abstract: Methods and systems for collaboration between two robotic vehicle systems to accurately determine a geometric model of the footprint of a loaded robotic vehicle are described herein. A scanning robot is employed to scan a robotic vehicle loaded with a payload. The scanning robot measures the geometric information required to determine a geometric model of the loaded robotic vehicle. The scanning robot traverses a trajectory around the payload robot, while one or more distance sensors repeatedly measure the distance between the scanning robot and the payload robot and one or more image capture devices repeatedly image the payload robot. A geometric model of the footprint of the payload robot is generated based on the collected image and distance information. In some examples, virtual boundaries are defined around the payload robot based on the geometric model to navigate with obstacle avoidance.