TY - CHAP
T1 - A Coordinate-Free Framework for Robotic Pizza Tossing and Catching
AU - Satici, Aykut C.
AU - Ruggiero, Fabio
AU - Lippiello, Vincenzo
AU - Siciliano, Bruno
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This chapter presents a solution to the problem of autonomous pizza tossing and catching. Under the assumption that robotic fingers grasp the pizza dough with soft contact, the grasp constraints are formulated and used to derive the individual and combined Euler-Lagrange dynamic equations of motion of the robotic manipulator and the dough. In particular, the dynamics of the dough is a modified version of the rigid-body dynamics, taking into account the change of inertia due to its deformation. Through these mathematical models, the two control problems of tossing and catching are formulated. For the tossing phase, an exponentially convergent controller that stabilizes a desired velocity of the dough as it leaves the fingers, is derived. On the other hand, to catch the dough, an optimal trajectory for the end-effector of the robotic manipulator is generated. Finally, the control laws to make the optimal trajectory exponentially attractive are derived. The developed theory is demonstrated with an elaborate simulation of the tossing and catching phases. This chapter is based on the works presented in [1].
AB - This chapter presents a solution to the problem of autonomous pizza tossing and catching. Under the assumption that robotic fingers grasp the pizza dough with soft contact, the grasp constraints are formulated and used to derive the individual and combined Euler-Lagrange dynamic equations of motion of the robotic manipulator and the dough. In particular, the dynamics of the dough is a modified version of the rigid-body dynamics, taking into account the change of inertia due to its deformation. Through these mathematical models, the two control problems of tossing and catching are formulated. For the tossing phase, an exponentially convergent controller that stabilizes a desired velocity of the dough as it leaves the fingers, is derived. On the other hand, to catch the dough, an optimal trajectory for the end-effector of the robotic manipulator is generated. Finally, the control laws to make the optimal trajectory exponentially attractive are derived. The developed theory is demonstrated with an elaborate simulation of the tossing and catching phases. This chapter is based on the works presented in [1].
UR - http://www.scopus.com/inward/record.url?scp=85126467101&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-93290-9_8
DO - 10.1007/978-3-030-93290-9_8
M3 - Chapter
AN - SCOPUS:85126467101
SN - 9783030932893
T3 - Springer Tracts in Advanced Robotics
SP - 207
EP - 227
BT - Robot Dynamic Manipulation
A2 - Siciliano, Bruno
A2 - Ruggiero, Fabio
CY - Cham
ER -