From industrial exoskeletons to implantable medical devices, robots that interact closely with people are poised to improve every aspect of our lives. Yet designing these systems is very challenging; humans are incredibly complex and, in many cases, we r
Experiments in Autonomous Navigation and Control of Multi-Manipulator Free-Flying Space Robots A custom on-board vision system is used for closed-loop endpoint control and object tracking in the robot's local reference frame. A multicamera off-... MA Ullman - Springer US 被引量: 79发表: ...
Human-in-the-looplearning models requirehuman interaction. Human-in-the-loop systems allow humans to change the output of thelearning systems. Human-in-the-loop simulators always have human input as part of the simulation, and humans influence the outcomes of the simulation exercise such that the...
This article discusses the use of machine learning in the field of microscopy to aid in data acquisition during experiments. The authors present a human-in-the-loop automated experiment (hAE) simulation based on scanning tunneling microscopy (STM) data collected on various quantum materials. They ...
The AI lifecyclemoves from proof of concept to proof of scale, then to model in production. This is a cyclical process, and people play an important role.Humans in the loop (HITL)inspect, validate, and make changes to algorithms to improve outcomes. They also collect, label, and conduct ...
Summary: Bayesian learning techniques for MLPs are applied to the problem of forecasting the direction of change in daily close values of the Australian Al... A Skabar - Springer-Verlag 被引量: 10发表: 2005年 Threat Assessment Strategy of Human-in-the-Loop Unmanned Underwater Vehicle Under Un...
Experiments 性能实验中,SURF均使用了极少的human feedback,达到了不错的效果。如果PEBBLE使用更多feedback的话,效果应该是能达到SURF一样收敛性能的。 Summary 这篇Blog对基于人类偏好的强化学习的流程和近期的几篇工作做了一个简单总结,目前Preference-based RL还有非常广泛的研究前景,包括如何使用最少的人类指引解决问...
Since the implementation of GPS, human-in-the-loop control strategies in aerospace have focused on fixed-wing vehicles [25], [26], [27], [28], [29] or the control of multiple platforms by a single operator [30], [31] due to a document issued by the Office of the Secretary of ...
When it comes to soft, assistive devices—like the exosuit being designed by the Harvard Biodesign Lab—the wearer and the robot need to be in sync. But every human moves a bit differently and tailoring the robot's parameters ...
Deep Reinforcement Learning (DRL) has been increasingly attempted in assisting clinicians for real-time treatment of sepsis. While a value function quantifies the performance of policies in such decision-making processes, most value-based DRL algorithms