Autonomous Robot
Autonomous robots are being developed to perform complex tasks in diverse and unpredictable environments, focusing on robust navigation, adaptive behavior, and reliable operation. Current research emphasizes improving perception through advanced computer vision techniques (e.g., keypoint detection, neural radiance fields) and developing efficient planning algorithms (e.g., deep reinforcement learning, hierarchical decision networks, belief space search) that incorporate uncertainty and handle dynamic situations. These advancements are significant for various applications, including exploration, manufacturing, agriculture, and search and rescue, promising increased efficiency and safety in challenging real-world scenarios.
Papers
Autonomous social robot navigation in unknown urban environments using semantic segmentation
Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth Croft, Wesley P. Chan
Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation
Elena Galbally, Adrian Piedra, Cynthia Brosque, Oussama Khatib