Six papers accepted at IEEE ICRA 2021

The Robot Learning & Interaction group will be presenting a total of six papers at the IEEE International Conference on Robotics and Automation (ICRA) 2021.

From the six papers, four were accepted for publication at the Robotics and Automation Letters (RA-L) and two directly at the conference. For more details, check:

Jankowski, J., Girgin, H. and Calinon, S. (2021). Probabilistic Adaptive Control for Robust Behavior Imitation. IEEE Robotics and Automation Letters (RA-L). pdf

Lembono, T.S., Pignat, E., Jankowski, J. and Calinon, S. (2021). Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network. IEEE Robotics and Automation Letters (RA-L). pdf

Kulak, T., Girgin, H., Odobez, J.-M. and Calinon, S. (2021). Active Learning of Bayesian Probabilistic Movement Primitives. IEEE Robotics and Automation Letters (RA-L). pdf

Naceri, A., Schumacher, T., Li, Q., Calinon, S. and Ritter, H. (2021). Learning Optimal Impedance Control During Complex 3D Arm Movements. IEEE Robotics and Automation Letters (RA-L), 6:2, 1248-1255. pdf

Silvério, J., Clivaz, G. and Calinon, S. (2021). A Laser-based Dual-Arm System for Precise Control of Collaborative Robots. IEEE Intl Conf. on Robotics and Automation (ICRA).

Dantec, E., Budhiraja, R., Roig, A., Lembono, T.S., Saurel, G., Stasse, O., Fernbach, P., Tonneau, S., Calinon, S., Vijayakumar, S., Taïx, M. and Mansard, N. (2021). Whole Body Model Predictive Control with Memory of Motion: Experiments on a Torque-Controlled TALOS. IEEE Intl Conf. on Robotics and Automation (ICRA). pdf