4 papers
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
Kaichen Zhou, Xinhai Chang, Taewhan Kim +8
Anomaly detection is essential for robotic perception and industrial inspection, yet most benchmarks are collected under controlled conditions with fixed viewpoints and stable illu…
Learning-augmented robotic automation for real-world manufacturing
Yunho Kim, Quan Nguyen, Taewhan Kim +2
Industrial robots are widely used in manufacturing, yet most manipulation still depends on fixed waypoint scripts that are brittle to environmental changes. Learning-based control…
ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?
Taewhan Kim, Hojin Bae, Zeming Li +4
Visual actionable affordance has emerged as a transformative approach in robotics, focusing on perceiving interaction areas prior to manipulation. Traditional methods rely on pixel…
CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation
Yuxing Long, Jiyao Zhang, Mingjie Pan +3
Correct use of electrical appliances has significantly improved human life quality. Unlike simple tools that can be manipulated with common sense, different parts of electrical app…