2019
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation
ICRA 2019poster
Service robots are expected to autonomously and efficiently work in human-centric environments. For this type of robots, object perception and manipulation are challenging tasks due to need for accurate and real-time response. This paper presents an interactive open-ended learning approach to recogn…