Recent Additions:
J. Gunther, E. Reichensdo, P. Pilarski, K. Diepold. "Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison". PLoS One, (ed: Yanzheng Zhu), 15(12), pp e0243320, December 2020. ![]() ![]() |
C. Sherstan, P. Pilarski. "Multilayer General Value Functions for Robotic Prediction and Control". International Conference on Intelligent Robots and Systems, September 2014. ![]() ![]() |
K. Chan, M. Dawson, A. Edwards, J. Hebert, R. Sutton, P. Pilarski. "Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning". Myoelectric Control Symposium, pp 66-70, August 2014. ![]() ![]() |
M. Dawson, C. Sherstan, J. Carey, J. Hebert, P. Pilarski. "Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research". Myoelectric Control Symposium, pp 57-61, August 2014. ![]() |
A. Koop, A. Kearney, M. Bowling, P. Pilarski. "Dealing with Changing Contexts in Myoelectric Control". Myoelectric Control Symposium, pp 113-116, August 2014. ![]() |
J. Gunther, P. Pilarski, G. Helfrich, H. Shen, K. Diepold. "First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning". Procedia Technology, 15, pp 474-483, January 2014. ![]() ![]() |