Good old-fashioned engineering can close the 100,000-year "data gap" in robotics [0.03%]
老派的工程学可以弥补机器人百年来的“数据缺口”
Ken Goldberg
Ken Goldberg
Well-established model-based methods or good old-fashioned engineering can bootstrap learning-based robot systems.
Ronald H Heisser,Khoi D Ly,Ofek Peretz et al.
Ronald H Heisser et al.
High-resolution electronic tactile displays stand to transform haptics for remote machine operation, virtual reality, and digital information access for people who are blind or visually impaired. Yet, increasing the resolution of these disp...
Attention-based map encoding for learning generalized legged locomotion [0.03%]
基于注意力的地图编码学习通用腿足运动控制
Junzhe He,Chong Zhang,Fabian Jenelten et al.
Junzhe He et al.
Dynamic locomotion of legged robots is a critical yet challenging topic in expanding the operational range of mobile robots. It requires precise planning when possible footholds are sparse, robustness against uncertainties and disturbances,...
"Data will solve robotics and automation: True or false?": A debate [0.03%]
“数据能解决机器人和自动化的问题吗？真的是这样吗？”——一场辩论会
Nancy M Amato,Seth Hutchinson,Animesh Garg et al.
Nancy M Amato et al.
Leading researchers debate the long-term influence of model-free methods that use large sets of demonstration data to train numerical generative models to control robots.
Learning contact-rich whole-body manipulation with example-guided reinforcement learning [0.03%]
基于实例引导的强化学习实现复杂接触约束下的全身机器人 manipulation 学习
Jose A Barreiros,Aykut Özgün Önol,Mengchao Zhang et al.
Jose A Barreiros et al.
Humans use diverse skills and strategies to effectively manipulate various objects, ranging from dexterous in-hand manipulation (fine motor skills) to complex whole-body manipulation (gross motor skills). The latter involves full-body engag...
Nana Obayashi,Arsen Abdulali,Fumiya Iida et al.
Nana Obayashi et al.
Animals leverage their full embodiment to achieve multimodal, redundant, and subtle communication. To achieve the same for robots, they must similarly exploit their brain-body-environment interactions or their embodied intelligence. To adva...
Si chiplet-controlled 3D modular microrobots with smart communication in natural aqueous environments [0.03%]
具有智能通信功能的基于硅芯片的微型机器人在自然水生环境中的三维模块化操作
Yeji Lee,Vineeth K Bandari,John S McCaskill et al.
Yeji Lee et al.
Modular microrobotics can potentially address many information-intensive microtasks in medicine, manufacturing, and the environment. However, surface area has limited the natural powering, communication, functional integration, and self-ass...
Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning [0.03%]
基于人机结合的强化学习实现机器人精准灵巧操纵
Jianlan Luo,Charles Xu,Jeffrey Wu et al.
Jianlan Luo et al.
Robotic manipulation remains one of the most difficult challenges in robotics, with approaches ranging from classical model-based control to modern imitation learning. Although these methods have enabled substantial progress, they often req...
Revanth Konda,Timothy A Brumfiel,Zachary L Bercu et al.
Revanth Konda et al.
Research on robotically steerable guidewires has surged in the past decade because of their potential in addressing difficulties related to endovascular interventions. These microscale devices exhibit unique challenges in design, fabricatio...
Guorui Li,Peng Shen,Tuck-Whye Wong et al.
Guorui Li et al.
Soft robots, with their compliant bodies, minimal environmental disturbance, and ability to withstand ambient pressures, offer promising solutions for deep-sea exploration. However, a common challenge of stiffening in soft materials impairs...