Detailed Information on Publication Record
2023
Tentacle-Based Shape Shifting of Metamorphic Robots Using Fast Inverse Kinematics
MRÁZEK, Jan, Patrick ONDIKA, Ivana ČERNÁ and Jiří BARNATBasic information
Original name
Tentacle-Based Shape Shifting of Metamorphic Robots Using Fast Inverse Kinematics
Authors
MRÁZEK, Jan (203 Czech Republic, belonging to the institution), Patrick ONDIKA (203 Czech Republic, belonging to the institution), Ivana ČERNÁ (203 Czech Republic, belonging to the institution) and Jiří BARNAT (203 Czech Republic, guarantor, belonging to the institution)
Edition
London, 2023 IEEE International Conference on Robotics and Automation (ICRA), p. 11894-11900, 7 pp. 2023
Publisher
IEEE
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/23:00130220
Organization unit
Faculty of Informatics
ISBN
979-8-3503-2365-8
ISSN
UT WoS
001048371104003
Keywords in English
self-reconfiguration
Tags
International impact, Reviewed
Změněno: 8/4/2024 15:37, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
We present a new approach to tackle the problem of metamorphic robots’ reconfiguration. Given the chain-type metamorphic robot’s initial and target configuration, we compute a reconfiguration plan that is provably physically collisionfree. Our solution employs a specific heuristic. The robot initially reconfigures to a shape that resembles an octopus with many tentacles. After that, the tentacles gradually reconnect to each other using inverse kinematics, separating one tentacle from the body and keeping the other one connected. This strategy eventually leads to a snake-like structure of the robot. For the target configuration, we compute the reconfiguration plan with the same procedure, however, we reverse the plan to reconfigure the robot from the snake-like structure to the target shape. According to our experimental evaluation, our newly introduced strategy for finding reconfiguration plans is successful. It efficiently finds collision-free plans even for robots consisting of hundreds of modules.
Links
EF16_019/0000822, research and development project |
| ||
MUNI/A/1081/2022, interní kód MU |
| ||
MUNI/A/1433/2022, interní kód MU |
|