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Traditional robot simulators focus on physical process modeling and realistic rendering, often suffering from high computational costs, inefficiencies, and limited adaptability. To handle this issue, we concentrate on behavior simulation in…

Robotics · Computer Science 2025-09-09 Jianan Wang , Bin Li , Jingtao Qi , Xueying Wang , Fu Li , Hanxun Li

Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical labs, provide students with real-world computer…

Cryptography and Security · Computer Science 2023-07-12 Jan Vykopal , Pavel Seda , Valdemar Švábenský , Pavel Čeleda

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time. In…

Physics Education · Physics 2024-06-17 Tong Wan , Zhongzhou Chen

Today's robots are increasingly interacting with people and need to efficiently learn inexperienced user's preferences. A common framework is to iteratively query the user about which of two presented robot trajectories they prefer. While…

Robotics · Computer Science 2021-10-04 Nils Wilde , Erdem Bıyık , Dorsa Sadigh , Stephen L. Smith

Cyber Physical Systems (CPS) are the conjoining of an entities' physical and computational elements. The development of a typical CPS system follows a sequence from conceptual modeling, testing in simulated (virtual) worlds, testing in…

Computers and Society · Computer Science 2014-08-05 Vijay Gadepally , Ashok Krishnamurthy , Umit Ozguner

We present a practical course targeting graduate students with prior knowledge of the basics of quantum computing. The practical aims to deepen students' understanding of fundamental concepts in quantum computing by implementing quantum…

Physics Education · Physics 2025-11-24 Florian Krötz , Xiao-Ting Michelle To , Korbinian Staudacher , Dieter Kranzlmüller

In recent years, human behavior simulation has drawn increasing attention from both academia and industry. The reasons fall into two aspects. First, simulation serves as a critical tool for understanding human behaviors, which has become…

Human-Computer Interaction · Computer Science 2024-12-12 Zhang Guozhen , Yu Zihan , Li Nian , Yu Fudan , Long Qingyue , Jin Depeng , Li Yong

Unlike traditional supervised learning, in many settings only partial feedback is available. We may only observe outcomes for the chosen actions, but not the counterfactual outcomes associated with other alternatives. Such settings…

Machine Learning · Computer Science 2021-12-09 Ruijiang Gao , Max Biggs , Wei Sun , Ligong Han

The need for space test professionals is growing rapidly, due to establishment of the US Space Force and the extremely rapid growth of the commercial space industry. The future of space test looks bright and complex; a better training…

The goal of this paper is to offer a full support for universities and quality assessment committees in retrieving the feedback from their students regarding to their teaching staff. The computer based application presented before ([Cri07])…

Human-Computer Interaction · Computer Science 2009-06-01 Tiberiu Marius Karnyanszky , Ovidiu Crista , Catalin Tuican

Correctness is one of the more important criteria of qualitative software. However, it is often taught in isolation and most students consider it only as an afterthought. They also do not receive sufficient feedback on code quality and…

Software Engineering · Computer Science 2024-12-03 Steffen Dick , Christoph Bockisch , Harrie Passier , Lex Bijlsma , Ruurd Kuiper

Learning rewards from preference feedback has become an important tool in the alignment of agentic models. Preference-based feedback, often implemented as a binary comparison between multiple completions, is an established method to acquire…

Machine Learning · Computer Science 2025-03-03 Yannick Metz , András Geiszl , Raphaël Baur , Mennatallah El-Assady

The use of interactive advice in reinforcement learning scenarios allows for speeding up the learning process for autonomous agents. Current interactive reinforcement learning research has been limited to real-time interactions that offer…

Artificial Intelligence · Computer Science 2022-10-12 Francisco Cruz , Adam Bignold , Hung Son Nguyen , Richard Dazeley , Peter Vamplew

Robots are extending their presence in domestic environments every day, being more common to see them carrying out tasks in home scenarios. In the future, robots are expected to increasingly perform more complex tasks and, therefore, be…

Artificial Intelligence · Computer Science 2020-09-22 Ithan Moreira , Javier Rivas , Francisco Cruz , Richard Dazeley , Angel Ayala , Bruno Fernandes

Robot learning requires adaptation methods that improve reliably from limited, mixed-quality interaction data. This is especially challenging in long-horizon, contact-rich tasks, where end-to-end policy finetuning remains inefficient and…

Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members…

Neurons and Cognition · Quantitative Biology 2019-01-21 Amelia J. Solon , Stephen M. Gordon , Jonathan R. McDaniel , Vernon J. Lawhern

Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST…

Other Statistics · Statistics 2017-12-05 Matthew D. Beckman , Robert C. delMas , Joan Garfield

While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Providing effective real-time feedback for facial muscle training…

Human-Computer Interaction · Computer Science 2026-02-03 Avinash Ajit Nargund , Andrea M. Park , Tobias Höllerer , Misha Sra

Computing systems form the backbone of many areas in our society, from manufacturing to traffic control, healthcare, and financial systems. When software plays a vital role in the design, construction, and operation, these systems are…

The drive for efficiency and safety in construction has boosted the role of robotics and automation. However, complex tasks like welding and pipe insertion pose challenges due to their need for precise adaptive force control, which…

Robotics · Computer Science 2025-01-28 Hengxu You , Yang Ye , Tianyu Zhou , Jing Du
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