Research Fellow
3 weeks ago
Key Responsibilities:
- Developing advanced path planning,search, and exploration algorithms for multi-UAVs systems inunknown and complex 3D environments.
- Designingefficient obstacle avoidance strategies to ensure collision-freenavigation in dense settings.
- Implementing andvalidating algorithms in both virtual and real-world scenarios tooptimize performance in indoor and outdoorenvironments.
JobRequirements:
- Ph.D. in Robotics,Computer Science, Electrical Engineering, or related fields, with afocus on Path Planning, Multi-Robot Systems, or AutonomousNavigation.
- Strong research background in pathplanning, motion planning, and multi-robots coordination in complexenvironments.
- Proficiency in Python and C++,with extensive experience in ROS/ROS2 for roboticdevelopment.
- Familiarity with popular pathplanning algorithms such as RRT, A*, and optimization-basedmethods.
- Hands-on experience with simulationenvironments such as Gazebo andUnity3D.
- Excellent verbal and writtencommunication skills in English.
- Experiencewith deep learning and reinforcement learning algorithms in roboticdecision.
- Familiar with UAV kinematics anddynamics.
We regret thatonly shortlisted candidates will benotified.
Hiring Institution: NTU
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