Observing a robot peer's failures facilitates students' classroom learning [0.03%]
观察机器人同伴的失败有助于学生的课堂学习
Liuqing Chen,Yu Cai,Yuyang Fang et al.
Liuqing Chen et al.
According to productive failure (PF) theory, experiencing failure during problem-solving can enhance students' knowledge acquisition in subsequent instruction. However, challenging students with problems beyond their current capabilities ma...
Robotic reading companions can mitigate oral reading anxiety in children [0.03%]
机器人阅读伙伴可以缓解儿童口头阅读焦虑
Lauren L Wright,Pooja Vegesna,Joseph E Michaelis et al.
Lauren L Wright et al.
Reading fluency is a vital building block for developing literacy, yet the best way to practice fluency-reading aloud-can cause anxiety severe enough to inhibit literacy development in ways that can have an adverse effect on students throug...
Optogenetic neuromuscular actuation of a miniature electronic biohybrid robot [0.03%]
用于微型电子生物混合机器人的光遗传神经肌肉驱动技术
Hyegi Min,Yue Wang,Jiaojiao Wang et al.
Hyegi Min et al.
Neuronal control of skeletal muscle function is ubiquitous across species for locomotion and doing work. In particular, emergent behaviors of neurons in biohybrid neuromuscular systems can advance bioinspired locomotion research. Although r...
RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning [0.03%]
基于图神经网络和强化学习的多机器人伸展路径规划方法
Matthew Lai,Keegan Go,Zhibin Li et al.
Matthew Lai et al.
Modern robotic manufacturing requires collision-free coordination of multiple robots to complete numerous tasks in shared, obstacle-rich workspaces. Although individual tasks may be simple in isolation, automated joint task allocation, sche...
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...