Optoelectronic devices with unconventional form factors, such as flexible and stretchable
light-emitting or photoresponsive devices, are core elements for the next-generation human …

As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
to wonder what lessons can be learned from other fields undergoing similar developments …

The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal
communication and control strategies are necessitated to guarantee a secure, efficient, and …

A key challenge in robotic manipulation in open domains is how to acquire diverse and
generalizable skills for robots. Recent research in one-shot imitation learning has shown …

Humans can perceive our complex world through multi-sensory fusion. Under limited visual
conditions, people can sense a variety of tactile signals to identify objects accurately and …

Contact-rich manipulation tasks in unstructured environments often require both haptic and
visual feedback. It is nontrivial to manually design a robot controller that combines these …

In this paper, we propose PolyTransform, a novel instance segmentation algorithm that
produces precise, geometry-preserving masks by combining the strengths of prevailing …

The ever-changing nature of human environments presents great challenges to robot
manipulation. Objects that robots must manipulate vary in shape, weight, and configuration …

Brain-inspired navigation technologies combine environmental perception, spatial cognition,
and target navigation to create a comprehensive navigation research system. Researchers …