Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
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 …
to wonder what lessons can be learned from other fields undergoing similar developments …
Flexible and stretchable light-emitting diodes and photodetectors for human-centric optoelectronics
Optoelectronic devices with unconventional form factors, such as flexible and stretchable
light-emitting or photoresponsive devices, are core elements for the next-generation human …
light-emitting or photoresponsive devices, are core elements for the next-generation human …
Edge artificial intelligence for 6G: Vision, enabling technologies, and applications
KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
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 …
wireless networks. It has been envisioned that 6G will be transformative and will …
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks
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 …
visual feedback. It is nontrivial to manually design a robot controller that combines these …
Polytransform: Deep polygon transformer for instance segmentation
In this paper, we propose PolyTransform, a novel instance segmentation algorithm that
produces precise, geometry-preserving masks by combining the strengths of prevailing …
produces precise, geometry-preserving masks by combining the strengths of prevailing …
Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot
A key challenge for robotic manipulation in open domains is how to acquire diverse and
generalizable skills for robots. Recent progress in one-shot imitation learning and robotic …
generalizable skills for robots. Recent progress in one-shot imitation learning and robotic …
Rh20t: A robotic dataset for learning diverse skills in one-shot
A key challenge in learning task and motion planning in open domains is how to acquire
diverse and generalizable skills for robots. Recent research in one-shot imitation learning …
diverse and generalizable skills for robots. Recent research in one-shot imitation learning …
Cog: Connecting new skills to past experience with offline reinforcement learning
Reinforcement learning has been applied to a wide variety of robotics problems, but most of
such applications involve collecting data from scratch for each new task. Since the amount of …
such applications involve collecting data from scratch for each new task. Since the amount of …
Contactnets: Learning discontinuous contact dynamics with smooth, implicit representations
Common methods for learning robot dynamics assume motion is continuous, causing
unrealistic model predictions for systems undergoing discontinuous impact and stiction …
unrealistic model predictions for systems undergoing discontinuous impact and stiction …
Intelligent Recognition Using Ultralight Multifunctional Nano-Layered Carbon Aerogel Sensors with Human-Like Tactile Perception
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 …
conditions, people can sense a variety of tactile signals to identify objects accurately and …