Peter Bohm

Dr. Peter Bohm is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on advanced robotics, reinforcement learning, and real-world implementation of intelligent systems.

His work explores topics such as legged manipulators, low-cost robotic systems, and parallelized frameworks for multi-agent coordination. Recent contributions include studies on dynamic throwing motions, feature extraction for deep reinforcement learning, and asynchronous training methods.

Bohm’s research emphasizes practical applications of AI in robotics, with a particular interest in control systems and embedded solutions. His publications span robotics, machine learning, and distributed computing domains, reflecting a multidisciplinary approach to solving complex technical challenges.

No academic awards or grants are explicitly listed in the provided materials. He currently holds no recorded advisees.