A Walking Claw for Tethered Object Retrieval
| dc.contributor.author | Gong, Yifeng | |
| dc.contributor.author | Behr, Alexander M. | |
| dc.contributor.author | Graf, Nicole M. | |
| dc.contributor.author | Chen, Kaiyi | |
| dc.contributor.author | Gong, Zhili | |
| dc.contributor.author | Daltorio, Kathryn A. | |
| dc.date.accessioned | 2023-11-29T19:16:09Z | |
| dc.date.available | 2023-11-29T19:16:09Z | |
| dc.date.copyright | 12/9/2022 12:00:00 AM | |
| dc.date.issued | 12/9/2022 12:00:00 AM | |
| dc.date.issued | 2022-12-09 | |
| dc.identifier.issn | 1942-4302 | |
| dc.identifier.other | jmr_15_5_051014.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4294670 | |
| dc.description.abstract | Mobility and manipulation are often considered separately, with independent degrees-of-freedom (DOF) for each. However, here we show that using the legs for both walking and grasping increases the versatility of both tasks. Our robot has four DOF: drive and lift for left and right pairs of legs. The legs use a reduced actuation Klann mechanism. The lift DOF rotates the entire trajectory of the legs, which enables gait modulation, climbing, and grasping. This demonstrates the feasibility of a novel operational concept: a robot that can approach, climb onto, and securely grasp an object that can then be lifted via a load-bearing tether. Specifically, we show the kinematics to enable small robots to climb onto rectangular objects up to 67% robot height and grasp objects between 43% and 72% of the robot’s length. With these kinematics, a robot can be scaled for specific terrains and object sizes, with potential application in construction, search and rescue, and object retrieval. | |
| dc.publisher | The American Society of Mechanical Engineers (ASME) | |
| dc.title | A Walking Claw for Tethered Object Retrieval | |
| dc.type | Journal Paper | |
| dc.journal.volume | 15 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Mechanisms and Robotics | |
| dc.identifier.doi | 10.1115/1.4055812 | |
| dc.journal.fristpage | 51014-1 | |
| dc.journal.lastpage | 51014-10 | |
| dc.page | 10 | |
| dc.tree | Journal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 005 | |
| dc.contenttype | Fulltext |