Designing Advanced Control Systems
Control System Design
Develop precise and reliable control systems to optimize the performance of robotic and automation solutions. We design, simulate, and implement advanced control algorithms for various applications. Key services include:
- Designing PID, adaptive, and model predictive controllers for industrial automation and robotic arms.
- Implementing real-time feedback loops for precise motion control in applications like autonomous drones and surgical robots.
- Developing robust control algorithms to stabilize dynamic systems such as legged robots and self-balancing vehicles.
- Optimizing power efficiency and response time in electromechanical systems, including automated manufacturing lines and smart grids.
Multi-Robot Coordination
Enable seamless collaboration between multiple robots in dynamic environments. We develop coordination strategies to optimize efficiency and scalability in multi-agent robotic systems. Key services include:
- Designing distributed control architectures for swarm robotics in warehouse automation and search & rescue missions.
- Implementing task allocation and scheduling algorithms for autonomous fleets, such as delivery drones or autonomous ground vehicles.
- Developing real-time communication protocols for seamless coordination in robotic assembly lines and agricultural robotics.
- Optimizing cooperative path planning for teams of autonomous mobile robots in logistics and construction.
- Ensuring robustness against failures using decentralized decision-making techniques for high-reliability applications.
Sensor Integration
Seamlessly integrate multiple sensors into intelligent robotic and industrial systems, ensuring enhanced perception and precise decision-making. With a deep understanding of sensor technologies and fusion techniques, we deliver tailored solutions for diverse applications. Key services include:
- Developing sensor fusion algorithms combining LiDAR, cameras, and IMUs, GPS for autonomous vehicles and robotic navigation.
- Integrating real-time feedback from force and torque sensors for precision control in robotic surgery and industrial automation.
- Implementing edge computing for real-time data processing in smart sensors for IoT and environmental monitoring.
- Designing custom embedded solutions for integrating vision, ultrasonic, and infrared sensors in assistive robotics.
- Optimizing signal processing techniques for noise reduction and enhanced accuracy in high-precision measurement systems.
