Karol Kulig
PhD studentProfile
Karol is a PhD student at 糖心视频 working in robotics, with a background in mechatronics and a focus on human-robot collaboration for remote and safety-critical applications. His research investigates how control and decision-making can be shared between human operators and autonomous systems under uncertain communication conditions, with the aim of making remotely operated robots safer and more dependable.
He is a hands-on engineer who works across the full robotics stack, from designing and integrating his own robotic hardware to developing the software that controls it. This includes shared-autonomy and decision-making approaches that determine when a robot should act independently and when it should defer to a human operator, alongside gesture recognition for more intuitive human-robot interfaces. He has extensive experience with robotic manipulators and is motivated by translating theoretical ideas into working systems and testing them on real hardware rather than in simulation alone.
Research Overview
- Human-robot collaboration and shared autonomy
- Teleoperation and remote robotic systems
- Safe and dependable autonomy in safety-critical robotics
- Decision-making under uncertainty
- Communication-aware robot control
- Physical human-robot interaction
- Gesture recognition and natural human-robot interfaces
- Machine learning applications in robotics
- Robotic manipulation and control
- Custom robotic hardware development and system integration
- Sensing, actuation and mechatronic system design
- Experimental validation on physical robotic platforms