Model predictive control for fast reaching in clutter

Author:

Killpack Marc D.ORCID,Kapusta Ariel,Kemp Charles C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference59 articles.

1. Abbeel, P., Coates, A., & Ng, A. Y. (2010). Autonomous helicopter aerobatics through apprenticeship learning. The International Journal of Robotics Research, 29, 1608–1639.

2. Bellingham, J., Richards, A., & How, J. P. (2002). Receding horizon control of autonomous aerial vehicles. In American Control Conference, 2002. Proceedings of the 2002 (vol. 5, pp. 3741–3746). IEEE.

3. Bhattacharjee, T., Grice, P. M., Kapusta, A., Killpack, M. D., Park, D., & Kemp, C. C. (2014). A robotic system for reaching in dense clutter that integrates model predictive control, learning, haptic mapping, and planning. In Proceedings of the 3rd IEEE/RSJ international conference on intelligent robots and systems (IROS) workshop on robots in clutter: perception and interaction in clutter.

4. Bhattacharjee, T., Jain, A., Vaish, S., Killpack, M. D., & Kemp, C. C. (2013). 2013 . In IEEE world haptics conference : Tactile sensing over articulated joints with stretchable sensors.

5. Bhattacharjee, T., Kapusta, A., Rehg, J., & Kemp, C. C. (2013). Rapid categorization of object properties from incidental contact with a tactile sensing robot arm. In IEEE international conference on humanoid robotics, 2013.

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