TY - GEN
T1 - Motion Planning with Multi-Contact and Visual Servoing on Humanoid Robots
AU - Giraud-Esclasse, Kevin
AU - Fernbach, Pierre
AU - Buondonno, Gabriele
AU - Mastalli, Carlos
AU - Stasse, Olivier
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - This paper describes the implementation of a canonical motion generation pipeline guided by vision for a TALOS humanoid robot. The proposed system is using a multicontact planner, a Differential Dynamic Programming (DDP) algorithm, and a stabilizer. The multicontact planner provides a set of contacts and dynamically consistent trajectories for the Center-Of-Mass (CoM) and the Center-Of-Pressure (CoP). It provides a structure to initialize a DDP algorithm which, in turn, provides a dynamically consistent trajectory for all the joints as it integrates all the dynamics of the robot, together with rigid contact models and the visual task. Tested on Gazebo the resulting trajectory had to be stabilized with a state-of-the-art algorithm to be successful. In addition to testing motion generated from high specifications to the stabilized motion in simulation, we express visual features at Whole Body Generator level which is a DDP formulated solver. It handles non-linearities as the ones introduced by the projections of visual features expressed and minimized in the image plan of the camera.
AB - This paper describes the implementation of a canonical motion generation pipeline guided by vision for a TALOS humanoid robot. The proposed system is using a multicontact planner, a Differential Dynamic Programming (DDP) algorithm, and a stabilizer. The multicontact planner provides a set of contacts and dynamically consistent trajectories for the Center-Of-Mass (CoM) and the Center-Of-Pressure (CoP). It provides a structure to initialize a DDP algorithm which, in turn, provides a dynamically consistent trajectory for all the joints as it integrates all the dynamics of the robot, together with rigid contact models and the visual task. Tested on Gazebo the resulting trajectory had to be stabilized with a state-of-the-art algorithm to be successful. In addition to testing motion generated from high specifications to the stabilized motion in simulation, we express visual features at Whole Body Generator level which is a DDP formulated solver. It handles non-linearities as the ones introduced by the projections of visual features expressed and minimized in the image plan of the camera.
UR - http://www.scopus.com/inward/record.url?scp=85082620951&partnerID=8YFLogxK
U2 - 10.1109/SII46433.2020.9026291
DO - 10.1109/SII46433.2020.9026291
M3 - Conference contribution
AN - SCOPUS:85082620951
T3 - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
SP - 156
EP - 163
BT - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PB - IEEE
T2 - 2020 IEEE/SICE International Symposium on System Integration
Y2 - 12 January 2020 through 15 January 2020
ER -