Results 221 to 230 of about 2,264 (261)

Snapbot: A reconfigurable legged robot

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
We develop a reconfigurable legged robot, named Snapbot, to emulate configuration changes and various styles of legged locomotion. The body of Snapbot houses a microcontroller and a battery for untethered operation. The body also contains connections for communication and power to the modular legs. The legs can be attached to and detached from the body
Joohyung Kim, Alexander Alspach, Katsu Yamane   +2 more
openaire   +2 more sources

PolyBot: a modular reconfigurable robot

Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2002
Modular, self-reconfigurable robots show the promise of great versatility, robustness and low cost. The paper presents examples and issues in realizing those promises. PolyBot is a modular, self-reconfigurable system that is being used to explore the hardware reality of a robot with a large number of interchangeable modules.
Mark Yim, David Duff, Kimon Roufas
openaire   +2 more sources

A cuboctahedron module for a reconfigurable robot

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
We present a concept for a modular robot with a quasi-regular polyhedron based on a cuboctahedron element. Lattice-type modular robots can adapt their morphology by reconfiguring to various shapes. While regular polyhedrons provide the bases of many promising 3D lattice elements, few modular robots have shapes with more than six regular faces.
Shuguang Li 0005, Jianping Yuan, Franz Nigl, Hod Lipson   +3 more
openaire   +2 more sources

Adaptability of reconfigurable robotic systems

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004
This research treats a design for reconfigurable robotic systems with large variations in configurations. To evaluate system adaptability, we define the configuration space to be the set of all feasible configuration variations of the robotic system.
Zhu Ming Bi, William A. Gruver, Wen-Jun Zhang 0005   +2 more
openaire   +2 more sources

Design and Integration of a Reconfiguration Robot

2019
Based on the kinematic topology of bionic robot and robot motion planning modeling, this paper designs the mechanical structure of highly integrated robotic joint module, the fast self-reconfigurable module, the drive control software, and the hardware for the system.
Jun Jiang, Houde Liu, Bo Yuan 0003, Lunfei Liang, Bin Liang 0001   +4 more
openaire   +1 more source

On the complexity of optimal reconfiguration planning for modular reconfigurable robots

2010 IEEE International Conference on Robotics and Automation, 2010
This paper presents a thorough analysis of the computational complexity of optimal reconfiguration planning problem for chain-type modular robots, i.e. finding the least number of reconfiguration steps to transform from the initial configuration into the goal configuration.
Feili Hou, Wei-Min Shen
openaire   +1 more source

Self-reconfigurable modular robot - experiments on reconfiguration and locomotion

Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 2002
We have proposed a self-reconfigurable robotic module, which has a very simple structure. The system is capable of not only building a static structure, but also generating a dynamic robotic motion. We have also developed a simulator for the motion planning.
Akiya Kamimura, Satoshi Murata, Eiichi Yoshida, Haruhisa Kurokawa, Kohji Tomita, Shigeru Kokaji   +5 more
openaire   +1 more source

Morphological reconfiguration monitoring for homogeneous self-reconfigurable robots

2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2017
Morphological computation (MC) has revolutionized robotic systems employing morphological properties (MP). Thus far, morphology has been mostly used to analyze morphological functionalities qualitatively after design phase of robotic systems. Furthermore, morphology has verified qualitative requirements, not modeled quantitative specifications. To fill
Matin Macktoobian, Ahmad K. N. Tehrani, M. Khodayar   +2 more
openaire   +1 more source

Structure-Reconfiguring Robots: Autonomous Truss Reconfiguration and Manipulation

IEEE Robotics & Automation Magazine, 2013
In this article, we present a robot capable of autonomously traversing and manipulating a three-dimensional (3-D) truss structure. The robot can approach and traverse multiple structural joints using a combination of translational and rotational motions. A key factor in allowing reliable motion and engagement is the use of specially designed structural
Franz Nigl, Shuguang Li 0005, Jeremy Blum, Hod Lipson   +3 more
openaire   +2 more sources

Network-based reconfiguration routes for a self-reconfigurable robot

Science in China Series F: Information Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinguo Liu, Shugen Ma, Yuechao Wang, Bin Li 0001   +3 more
openaire   +3 more sources