All Outputs (2)

Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments (2016)
Thesis
Pinder, J. Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments. (Thesis). University of Salford

This dissertation focuses on the problem of uncertainty handling during learning, by agents dealing in stochastic environments by means of Multi Objective Reinforcement Learning (MORL). Most previous investigations into multi objective reinforcement... Read More about Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments.

Variable stiffness McKibben muscles with hydraulic and pneumatic operating modes (2016)
Journal Article
Xiang, C., Giannaccini, M., Theodoridis, T., Nefti-Meziani, S., & Davis, S. (2016). Variable stiffness McKibben muscles with hydraulic and pneumatic operating modes. Advanced robotics : the international journal of the Robotics Society of Japan, 30(13), 889-899. https://doi.org/10.1080/01691864.2016.1154801

McKibben muscles have been shown to have improved stiffness characteristics when operating hydraulically. However, when operating pneumatically they are compliant and so have potential for safer physical Human Robot Interaction (pHRI). This paper pre... Read More about Variable stiffness McKibben muscles with hydraulic and pneumatic operating modes.