Website TeamPlus
• Programming: Proficiency in C, C++, and/or Python on Linux platforms.
• Simulation & Testing: Experience with simulation tools (e.g., Gazebo, Carla), real-time data logging, and hardware-in-the-loop setups.
• Develop and implement advanced motion planning algorithms such as A*, RRT, RRT*, and graph-based planners for indoor environments.
• Design robust control strategies including PID, Model Predictive Control (MPC), and learning-based controllers for smooth and accurate trajectory execution.
• Integrate localization, obstacle avoidance, and path-following into a unified navigation pipeline.
• Utilize ROS/ROS2 for developing modular and scalable navigation stacks.
• Simulate navigation scenarios using tools like Gazebo, CARLA, or Webots and validate performance using real robot platforms.
• Fuse data from multiple sensors including LiDAR, depth cameras, IMUs, and wheel encoders to enhance localization and control precision.
• Collaborate with perception, systems engineering, and hardware teams for seamless system-level integration.
• Implement drive-by-wire and safety layers for electric forklift platforms, adhering to industry-standard functional safety principles (e.g., ISO 26262).
• Contribute to architecture design, code reviews, and high-quality documentation for long-term maintainability.