Richard Bowden

Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies

2020

Deep learning has become an increasingly common technique for various control problems, such as robotic arm manipulation, robot navigation, and autonomous vehicles. However, the downside of using deep neural networks to learn control policies is …

The Radiance of Neural Fields: Democratizing Photorealistic and Dynamic Robotic Simulation

2025

As robots increasingly coexist with humans, they must navigate complex, dynamic environments rich in visual information and implicit social dynamics, like when to yield or move through crowds. Addressing these challenges requires significant advances in …