Rescue missions in mountain environments are hardly achievable by standard legged robots-because of the high slopes-or by flying robots-because of limited payload capacity. We present a concept for a rope-aided climbing robot which can negotiate up-to-vertical slopes and carry heavy payloads. The robot is attached to the mountain through a rope, and it is equipped with a leg to push against the mountain and initiate jumping maneuvers. Between jumps, a hoist is used to wind/unwind the rope to move vertically and affect the lateral motion. This simple (yet effective) two-fold actuation allows the system to achieve high safety and energy efficiency. Indeed, the rope prevents the robot from falling while compensating for most of its weight, drastically reducing the effort required by the leg actuator. We also present an optimal control strategy to generate point-to-point trajectories overcoming an obstacle. We achieve fast computation time (<1 s) thanks to the use of a custom simplified robot model. We validated the generated optimal movements in Gazebo simulations with a complete robot model with a < 5% error on a 16 m long jump, showing the effectiveness of the proposed approach, and confirming the interest of our concept. Finally, we performed a reachability analysis showing that the region of achievable targets is strongly affected by the friction properties of the foot-wall contact.

CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments / Focchi, Michele; Bensaadallah, Mohamed; Frego, Marco; Peer, Angelika; Fontanelli, Daniele; Del Prete, Andrea; Palopoli, Luigi. - 2023-:(2023), pp. 7742-7748. (Intervento presentato al convegno 2023 IEEE International Conference on Robotics and Automation, ICRA 2023 tenutosi a ExCeL London, gbr nel May 29 - June 2, 2023) [10.1109/icra48891.2023.10160440].

CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments

Focchi, Michele
Primo
;
Frego, Marco;Fontanelli, Daniele;Del Prete, Andrea
Penultimo
;
Palopoli, Luigi
Ultimo
2023-01-01

Abstract

Rescue missions in mountain environments are hardly achievable by standard legged robots-because of the high slopes-or by flying robots-because of limited payload capacity. We present a concept for a rope-aided climbing robot which can negotiate up-to-vertical slopes and carry heavy payloads. The robot is attached to the mountain through a rope, and it is equipped with a leg to push against the mountain and initiate jumping maneuvers. Between jumps, a hoist is used to wind/unwind the rope to move vertically and affect the lateral motion. This simple (yet effective) two-fold actuation allows the system to achieve high safety and energy efficiency. Indeed, the rope prevents the robot from falling while compensating for most of its weight, drastically reducing the effort required by the leg actuator. We also present an optimal control strategy to generate point-to-point trajectories overcoming an obstacle. We achieve fast computation time (<1 s) thanks to the use of a custom simplified robot model. We validated the generated optimal movements in Gazebo simulations with a complete robot model with a < 5% error on a 16 m long jump, showing the effectiveness of the proposed approach, and confirming the interest of our concept. Finally, we performed a reachability analysis showing that the region of achievable targets is strongly affected by the friction properties of the foot-wall contact.
2023
2023 IEEE International Conference on Robotics and Automation (ICRA)
Piscataway, NJ USA
Institute of Electrical and Electronics Engineers Inc.
979-8-3503-2365-8
979-8-3503-2366-5
Focchi, Michele; Bensaadallah, Mohamed; Frego, Marco; Peer, Angelika; Fontanelli, Daniele; Del Prete, Andrea; Palopoli, Luigi
CLIO: a Novel Robotic Solution for Exploration and Rescue Missions in Hostile Mountain Environments / Focchi, Michele; Bensaadallah, Mohamed; Frego, Marco; Peer, Angelika; Fontanelli, Daniele; Del Prete, Andrea; Palopoli, Luigi. - 2023-:(2023), pp. 7742-7748. (Intervento presentato al convegno 2023 IEEE International Conference on Robotics and Automation, ICRA 2023 tenutosi a ExCeL London, gbr nel May 29 - June 2, 2023) [10.1109/icra48891.2023.10160440].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/402856
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