아바타 로봇을 위한 3지 로봇 손과 손 자세 맵핑 알고리즘
3-Finger Robotic Hand and Hand Posture Mapping Algorithm for Avatar Robot
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The Avatar robot, which is one of the teleoperation robots, aims to enable users to feel the robot as a part of the body to intuitively and naturally perform various tasks. Considering the purpose of the avatar robot, an end-effector identical to a human hand is advantageous, but a robotic hand with human hand level performance has not yet been developed. In this paper we propose a new 3-finger robotic hand with human-avatar hand posture mapping algorithm which were integrated with TOCABI-AVATAR, one of the teleoperation system. Due to the flexible rolling contact joints and tendon driven mechanism applied to the finger, the finger could implement adaptive grasping and absorb the impact force caused by unexpected contacts. In addition, human-avatar hand mapping algorithm using five calibration hand postures propose to compensate physical differences between operators. Using the TOCABI-AVATAR system with the robotic hands and mapping algorithm, the operator can perform 13 out of 16 hand postures of grasping taxonomy and 4 gestures. In addition, using the system, we participated in the ANA AVATAR XPRIZE Semi-final and successfully performed three scenarios which including various social interactions as well as object manipulation.
Abstract
The Avatar robot, which is one of the teleoperation robots, aims to enable users to feel the robot as a part of the body to intuitively and naturally perform various tasks. Considering the purpose of the avatar robot, an end-effector identical to a human hand is advantageous, but a robotic hand with human hand level performance has not yet been developed. In this paper we propose a new 3-finger robotic hand with human-avatar hand posture mapping algorithm which were integrated with TOCABI-AVATAR, one of the teleoperation system. Due to the flexible rolling contact joints and tendon driven mechanism applied to the finger, the finger could implement adaptive grasping and absorb the impact force caused by unexpected contacts. In addition, human-avatar hand mapping algorithm using five calibration hand postures propose to compensate physical differences between operators. Using the TOCABI-AVATAR system with the robotic hands and mapping algorithm, the operator can perform 13 out of 16 hand postures of grasping taxonomy and 4 gestures. In addition, using the system, we participated in the ANA AVATAR XPRIZE Semi-final and successfully performed three scenarios which including various social interactions as well as object manipulation.
참고문헌 (19)
- R. H. Taylor, "Springer Handbook of Robotics", pp.1657~1684 (2016), Springer
- S. Avgousti, "Medical telerobotic systems : current status and future trends", Biomedical Engineering Online, 15(1), pp.1~44 (2016)[DOI]
- T. Kot, "Application of Virtual Reality in Teleoperation of the Military Mobile Robotic System TAROS", International Journal of Advanced Robotic Systems, 15(1), pp.1~6 (2018)[DOI]
- S. Park, "An interactive and intuitive control interface for a tele-operated robot(AVATAR)system", Mechatronics, 55, pp.54~62 (2018)[DOI]
- M. Arduengo, "Human to Robot Whole-Body Motion Transfer", 2020IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids), pp.299~305 (2021)
- C. Piazza, "A Century of Robotic Hands", Annual Review of Control, Robotics, and Autonomous Systems, 2(1), pp.1~32 (2019), Annual Reviews[DOI]
- M. Bonilla, "Grasping with soft hands", 2014 IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp.581~587 (2014)
- O. Porges, "A wearable, ultralight interface for bimanual teleoperation of a compliant, whole-body-controlled humanoid robot", Late Breaking Results Session of IEEE International Conference on Robotics and Automation (ICRA) (2019)
- "Shadow Dexterous Hand"[URL]
- S. Li, "A mobile robot hand-arm teleoperation system by vision and imu", 2020 IEEE, 2020, 10900~10906
- C. L. Fernando, "Design of TELESAR V for transferring bodily consciousness in telexistence", 2012 IEEE, 2012, 5112~5118
- M. Schwarz, "NimbRo Avatar: Interactive immersive telepresence with force-feedback telemanipulation", 2021 IEEE, 2021, 5312~5319
- S. Kim, "Gripper with Thumb Adduction", Abduction Joint for Enhanced In-hand Orientation Manipulation, 2018 (2018), 1~9
- M. R. Cutkosky, "On grasp choice, grasp models, and the design of hands for manufacturing tasks", IEEE Transactions on robotics and automation, 5(3), pp.269~279 (1989)[DOI]
- "Rolling contact joint, US3932045A" (1976)[URL]
- S.-H. Kim, "Force characteristics of rolling contact joint for compact structure", 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp.1207~1212 (2016)
- Seok Woo Hong, "Novel implant design of the proximal interphalangeal joint using an optimized rolling contact joint mechanism", Journal of Orthopaedic Surgery and Research, 14(1), pp.1~13 (2019), Springer Science and Business Media LLC[DOI]
- Y. -J. Kim, "Fluid lubricated dexterous finger mechanism for human-like impact absorbing capability", IEEE Robotics and Automation Letters, 4(4), pp.3971~3978 (2019)
- Cosimo Della Santina, "Toward Dexterous Manipulation With Augmented Adaptive Synergies: The Pisa", IIT SoftHand 2, 2018, pp.34(5), 1141~1156[DOI]