ALMA-Articulated Locomotion and Manipulation for a Torque-Controllable Robot. Bellicoso, C. D, Kramer, K., Stäuble, M., Sako, D., Jenelten, F., Bjelonic, M., & Hutter, M. IEEE International Conference on Robotics and Automation (ICRA), 2019.
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Video abstract bibtex 4 downloads The task of robotic mobile manipulation poses several scientific challenges that need to be addressed to execute complex manipulation tasks in unstructured environments, in which collaboration with humans might be required. Therefore, we present ALMA, a motion planning and control framework for a torque-controlled quadrupedal robot equipped with a six degrees of freedom robotic arm capable of performing dynamic locomotion while executing manipulation tasks. The online motion planning framework, together with a whole-body controller based on a hierarchical optimization algorithm, enables the system to walk, trot and pace while executing operational space end-effector control, reactive human-robot collaboration and torso posture optimization to increase the arm's workspace. The torque control of the whole system enables the implementation of compliant behavior, allowing a user to safely interact with the robot. We verify our framework on the real robot by performing tasks such as opening a door and carrying a payload together with a human.
@article{bellicoso2019alma,
author = {Bellicoso, Carmine D and
Kramer, Koen and
St{\"a}uble, Markus and
Sako, Dhionis and
Jenelten, Fabian and
Bjelonic, Marko and
Hutter, Marco},
title = {ALMA-Articulated Locomotion and Manipulation for a
Torque-Controllable Robot},
journal = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2019},
abstract = {The task of robotic mobile manipulation poses several scientific
challenges that need to be addressed to execute complex
manipulation tasks in unstructured environments, in which
collaboration with humans might be required. Therefore, we
present ALMA, a motion planning and control framework for a
torque-controlled quadrupedal robot equipped with a six degrees
of freedom robotic arm capable of performing dynamic locomotion
while executing manipulation tasks. The online motion planning
framework, together with a whole-body controller based on a
hierarchical optimization algorithm, enables the system to walk,
trot and pace while executing operational space end-effector
control, reactive human-robot collaboration and torso posture
optimization to increase the arm's workspace. The torque control
of the whole system enables the implementation of compliant
behavior, allowing a user to safely interact with the robot.
We verify our framework on the real robot by performing tasks
such as opening a door and carrying a payload together with a
human.},
keywords = {legged robots, mobile manipulation, optimization and
optimal control},
url_pdf = {files/2019_icra_bellicoso.pdf},
url_video = {https://youtu.be/XrcLXX4AEWE},
}
Downloads: 4
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