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About

Karlos Ishac is a robotics researcher whose work lies at the intersection of human-robot interaction (HRI), wearable technology, and skill transfer. His research focuses on developing intuitive, low-cost robotic systems that enhance human capabilities in daily life, from healthcare to sports training. Ishac's most cited work (14 citations) introduces a wearable sensory jacket for gesture-based robotic arm control, designed to assist with meal-time care for individuals needing remote nursing support. He further explores adaptive HRI with the "Owro" robot (5 citations), a novel system for sitting posture training that leverages real-time human interaction. Pushing into skill coaching, Ishac's recent work (2024, 4 citations) presents a machine learning-powered IoT and HRI platform for martial arts training, demonstrating how robots can physically guide humans to improve technique. His earlier contributions include a low-cost gaze estimation system (2014, 3 citations) for collaborative human-robot workspaces. Across these projects, Ishac consistently emphasizes accessibility and affordability, making advanced robotic assistance viable for everyday settings. His work is notable for bridging engineering and practical human needs, with applications that range from rehabilitation to athletic performance.