Our Role
In AGIMUS, PAL Robotics utilizes TIAGo++ to showcase breakthrough innovations in agile production. TIAGo++ is central to testing how robots can autonomously perform complex tasks in manufacturing. The project involves enhancing TIAGo++ with advanced motion planning and control techniques, demonstrating its capabilities in real-world industrial scenarios, thereby advancing the state of robotics in agile production environments.
Key responsibilities
- Integrating advanced task and motion planning algorithms into the robot’s software architecture.
- Implementing reinforcement learning-based optimal control policies to enhance motion execution.
- Developing and integrating advanced perception algorithms for robust object handling in dynamic environments.
- Collaborating in optimizing energy efficiency and leveraging 5G technology for enhanced autonomy.
- Participating in the demonstration and stress-testing of AGIMUS solutions across diverse real-world scenarios and industrial pilots in Europe.