Robotics & autonomy
Robotics and autonomous systems obviously face specific challenges. Verhaert helps you build your robot, from preliminary feasibility research to engineering and production.
Key challenges for robotics & autonomous systems
Planning
Your robot needs to create a plan to complete its to-do list: go from a to b, pick up or drop off goodies.
Situational awareness
Being aware of your robot’s surroundings is a must: determine the optimal path, avoid obstacles and adjust the path when surroundings change.
Control
Translate the plan and awareness in instructions for the mechanical parts of your robot: drive, grasp, apply pressure, stack, inspect, dispense, etc.
Smart mechanics
Propulsion systems and mechanical design to give your robot the ability to execute its tasks. Often added to the complexity: ruggedization and IP requirements.
Integrating specific expertise
Your robot’s complexity goes beyond data and AI, it combines mechanics, electronics, sensors and system design. So look beyond the subsystems, your approach requires an integration of different expertises.
Mechatronics & kinematics
- Custom robotics & mechanisms: stacking, gripping, inspection, dispensing …
- Ruggedization: ingress protection, shock & vibration, harsh environments, ATEX
- Propulsion systems
- Drones, UUV / UAV, docking stations
Sensors & optics
- One stop shop
- Optics & sensor selection, development, calibration, certification
- Sensor fusion
- Vision systems, including machine learning
- Smart sensors/AI processing/self-learning
Power & control electronics
- Power management & power storage/batteries
- Controller selection, development
- Ruggedization of electronics
- Control loop
System design
- Market/user/product requirements management
- Technical & economical feasibility
- System & subsystem architecture
- (Space) technology transfer
- Verification & validation
- Model based design, simulation, digital twins
AI & control algorithms
- Perception: vision, lidar, radar …
- Situational awareness
- Planning & navigation
- Efficient computing in the edge and cloud
- Robot control & kinematics
- Robotics development in simulation
IoT & communication
- Connectivity (local/wide/low power)
- Data safety
- Server (local/central)
- Data processing, data visualization, Artificial Intelligence (AI) based predictive maintenance