Open access
Aug 2026
Real-time obstacle avoidance in mobile robots using deep reinforcement learning
The proposed Proximal Policy Optimization-based deep reinforcement learning approach for real-time obstacle avoidance for mobile robots is a successful and computationally feasible solution to real-time robotic navigation in dynamic environments.
Roja Ba, Priyanka Mishra, M. Kalaimani et al.
· Future Technology · 0 citations