Multi-Robot Collaboration Framework

Recognizing the importance of teamwork in advanced robotics, we’ve implemented a Multi-Robot Collaboration Framework to explore how multiple robots can work together seamlessly.

Capabilities:

• Task Allocation and Resource Sharing: Robots dynamically divide tasks such as terrain mapping, resource exploration, and obstacle avoidance based on real-time environmental data.

• Collaborative Sensor Fusion: Multiple robots share sensor data, enabling enhanced situational awareness and improved decision-making capabilities.

• Multi-Agent Reinforcement Learning (MARL): Policies are trained not just for individual performance but also for optimized group behavior, ensuring efficiency in collaborative tasks.

Outcomes:

• In Phase 2, two rovers operating in a shared simulation environment successfully completed resource distribution tasks, with collaboration efficiency increasing by 40.7%.