Lecture
This lecture explores the use of artificial hands by humans and robots, focusing on soft robotic grasping and manipulation. Key features for successful soft robotic grasping are discussed, along with challenges and strategies for grasping failure prediction. The lecture also covers the development of algorithms to exploit the intelligence in hands and the implementation of human-inspired distributed intelligence for autonomous grasping. Various experiments and results are presented, showcasing the effectiveness of the proposed framework in predicting failure events. The lecture emphasizes the importance of distributed intelligence, human inspiration, and adaptability in robotic manipulation.