π Robotics Algorithm Engineer Β Β·Β π€ Autonomous Mobile Robotics Β· Embodied Intelligence
- π Robotics Algorithm Engineer with 5+ years of industry experience developing and deploying autonomous mobile robot systems in ports, factories, and logistics scenarios.
- π€ My hands-on work covers perception, SLAM, path planning, control, multi-sensor fusion, and ROS-based robot system implementation in C++ and Python, from prototype validation to on-site deployment.
- π I recently completed my M.Sc. in Computer Science and Engineering at the University of Gothenburg (2026), with a thesis on Assessment & Failure Recovery in Remote Vision-Language-Action (VLA) Deployment.
- π§ I am interested in interpretable and hierarchical robot learning, human-aware robot behaviour, and failure-aware adaptation and recovery for reliable embodied robot systems.
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π Autonomous Mobile Robotics AMRs, Intelligent Guided Vehicles (IGVs), and autonomous forklifts for real-world logistics and automation tasks; perception, SLAM, planning, control, and multi-sensor fusion for deployed robot systems.
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π§ Embodied AI & Robot Learning Structured and interpretable robot intelligence, learning-based adaptation, and reliable behaviour in physical robot environments.
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ποΈ MLLM/VLMs for Robotics Multimodal foundation models-based task-level reasoning, scene understanding and human intention understanding for human-aware robot systems.
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πͺ¨ Vision-Language-Action (VLA) Models Remote VLA deployment, action generation in robotic manipulation, navigation and locomotion tasks.
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π Failure Detection, Recovery
Runtime failure monitoring, reinforcement learning for adaptive execution, experience-based adaptation, and failure recovery strategies for robust robot behaviour.
πΈ Badminton Β Β·Β π€ Hobby robotics / DIY