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robot motion generation |
| We develop novel control schemes to generate expressive robot motion and solve optimal control and inverse optimal control using latent space of machine learning techniques. Our control methods are tested on a wide range of robots and can apply in many use cases. | |
| related publications | S. Ishida, T. Harada, P. Carreno, D. Kulic, G. Venture, Human Motion Imitation using Optimal Control with Time‐Varying Weights, Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, September 27th - October 1st, 2021. S. Shimizu, K. Ayusawa, G. Venture, Motion Synthesis Using Low-dimensional Feature Space and Its Application to Inverse Optimal Control, ROMANSY, Sapporo, Japan, 20-24 September, 2020. A. Claret, G. Venture, L. Basanez, Exploring the robot kinematic redundancy for emotion conveyance to humans as a lower priority task , Int. J. of Social Robotics, Vol. 9, No. 2, pp. 277-292, 2017. DOI 10.1007/s12369-016-0387-2 Springer
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