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Artificial intelligence for long-term robot autonomy: A survey
Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …
domains including space, marine, air, field, road, and service robotics. They will assist us in …
[HTML][HTML] A review of the neurobiomechanical processes underlying secure grip** in object manipulation
Abstract O'SHEA, H. and SJ Redmond. A review of the neurobiomechanical processes
underlying secure grip** in object manipulation. NEUROSCI BIOBEHAV REV 286–300 …
underlying secure grip** in object manipulation. NEUROSCI BIOBEHAV REV 286–300 …
Accelerating reinforcement learning for reaching using continuous curriculum learning
Reinforcement learning has shown great promise in the training of robot behavior due to the
sequential decision making characteristics. However, the required enormous amount of …
sequential decision making characteristics. However, the required enormous amount of …
[HTML][HTML] Mvgrasp: Real-time multi-view 3d object gras** in highly cluttered environments
Nowadays robots play an increasingly important role in our daily life. In human-centered
environments, robots often encounter piles of objects, packed items, or isolated objects …
environments, robots often encounter piles of objects, packed items, or isolated objects …
The state of lifelong learning in service robots: Current bottlenecks in object perception and manipulation
Abstract Service robots are appearing more and more in our daily life. The development of
service robots combines multiple fields of research, from object perception to object …
service robots combines multiple fields of research, from object perception to object …
Early or late fusion matters: Efficient rgb-d fusion in vision transformers for 3d object recognition
The Vision Transformer (ViT) architecture has established its place in computer vision
literature, however, training ViTs for RGB-D object recognition remains an understudied …
literature, however, training ViTs for RGB-D object recognition remains an understudied …
Orthographicnet: A deep transfer learning approach for 3-d object recognition in open-ended domains
SH Kasaei - IEEE/ASME Transactions on Mechatronics, 2020 - ieeexplore.ieee.org
Nowadays, service robots are appearing more and more in our daily life. For this type of
robot, open-ended object category learning and recognition is necessary since no matter …
robot, open-ended object category learning and recognition is necessary since no matter …
Self-imitation learning by planning
Imitation learning (IL) enables robots to acquire skills quickly by transferring expert
knowledge, which is widely adopted in reinforcement learning (RL) to initialize exploration …
knowledge, which is widely adopted in reinforcement learning (RL) to initialize exploration …
Safe and efficient robot manipulation: Task-oriented environment modeling and object pose estimation
Mobile manipulation is essential for robots to accomplish everyday household chores such
as set the table. In order to successfully perform manipulation tasks, a 3-D representation of …
as set the table. In order to successfully perform manipulation tasks, a 3-D representation of …
Investigating the importance of shape features, color constancy, color spaces, and similarity measures in open-ended 3D object recognition
Despite the recent success of state-of-the-art 3D object recognition approaches, service
robots still frequently fail to recognize many objects in real human-centric environments. For …
robots still frequently fail to recognize many objects in real human-centric environments. For …