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The kind of closed-loop verification likely to be required for autonomous vehicle (AV) safety testing is beyond the reach of traditional test methodologies and discrete verification. Validation puts the autonomous vehicle system to the test…

Machine Learning · Computer Science 2020-05-29 Hyun Jae Cho , Madhur Behl

A critical need in assistive robotics, such as assistive wheelchairs for navigation, is a need to learn task intent and safety guarantees through user interactions in order to ensure safe task performance. For tasks where the objectives…

Robotics · Computer Science 2021-10-12 Ahalya Prabhakar , Aude Billard

Technological advances in holography, robotics, and 3D printing are starting to realize the vision of a holodeck. These immersive 3D displays must address user safety from the start to be viable. A holodeck's safety challenges are novel…

Robotics · Computer Science 2022-08-18 Shahram Ghandeharizadeh , Luis Garcia

Hazard and impact analysis is an indispensable task during the specification and development of safety-critical technical systems, and particularly of their software-intensive control parts. There is a lack of methods supporting an…

Software Engineering · Computer Science 2015-12-10 Sonila Dobi , Mario Gleirscher , Maria Spichkova , Peter Struss

In this paper we discuss the growing need for system behaviour to be validated and verified (V&V'ed) early in model-based systems engineering. Several aspects push companies towards integration of techniques, methods, and processes that…

Software Engineering · Computer Science 2024-06-07 Johan Cederbladh , Antonio Cicchetti

To evaluate the design and skills of a robot or an algorithm for robotics, human-robot interaction user studies need to be performed. Classically, these studies are conducted by human experimenters, requiring considerable effort, and…

Robotics · Computer Science 2023-11-27 Dan R. Suissa , Shikhar Kumar , Yael Edan

Human-Robot Interaction, in which a robot with some level of autonomy interacts with a human to achieve a specific goal has seen much recent progress. With the introduction of autonomous robots and the possibility of widespread use of those…

Robotics · Computer Science 2022-07-01 Maitry Ronakbhai Trivedi , Zahra Rezaei Khavas , Paul Robinette

Since cobots (collaborative robots) are increasingly being introduced in industrial environments, being aware of their potential positive and negative impacts on human collaborators is essential. This study guides occupational health…

Human-Computer Interaction · Computer Science 2023-05-31 Étienne Fournier , Dorilys Kilgus , Aurélie Landry , Belal Hmedan , Damien Pellier , Humbert Fiorino , Christine Jeoffrion

Safety, reliability, and user trust are crucial in human-robot interaction (HRI) where the robots must address hazards in real-time. This study presents hazard driven low-level control strategies implemented in robot-assisted dressing (RAD)…

Robotics · Computer Science 2025-05-13 Yasmin Rafiq , Baslin A. James , Ke Xu , Robert M. Hierons , Sanja Dogramadzi

Ensuring safe and efficient operation of collaborative robots in human environments is challenging, especially in dynamic settings where both obstacle motion and tasks change over time. Current robot controllers typically assume full…

Robotics · Computer Science 2025-08-29 Joonho Lee , Yunho Kim , Seokjoon Kim , Quan Nguyen , Youngjin Heo

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

Robotic systems are becoming pervasive and adopted in increasingly many domains, such as manufacturing, healthcare, and space exploration. To this end, engineering software has emerged as a crucial discipline for building maintainable and…

Collaboration between human supervisors and remote teams of robots is highly challenging, particularly in high-stakes, distant, hazardous locations, such as off-shore energy platforms. In order for these teams of robots to truly be…

Deploying robots in human-shared environments requires a deep understanding of how nearby agents and objects interact. Employing causal inference to model cause-and-effect relationships facilitates the prediction of human behaviours and…

Robotics · Computer Science 2026-02-17 Luca Castri , Gloria Beraldo , Sariah Mghames , Marc Hanheide , Nicola Bellotto

A swarm robotic system consists of a team of robots performing cooperative tasks without any centralized coordination. In principle, swarms enable flexible and scalable solutions; however, designing individual control algorithms that can…

Systems and Control · Electrical Eng. & Systems 2022-07-15 Stefan Schupp , Francesco Leofante , Leander Behr , Erika Ábrahám , Armando Taccella

Evaluating learned robot control policies to determine their physical task-level capabilities costs experimenter time and effort. The growing number of policies and tasks exacerbates this issue. It is impractical to test every policy on…

Robotics · Computer Science 2025-02-17 Abrar Anwar , Rohan Gupta , Zain Merchant , Sayan Ghosh , Willie Neiswanger , Jesse Thomason

Learning from demonstration is a promising approach for teaching robots new skills. However, a central challenge in the execution of acquired skills is the ability to recognize faults and prevent failures. This is essential because…

Bolting operations are critical in industrial assembly and in the maintenance of scientific facilities, requiring high precision and robustness to faults. Although robotic solutions have the potential to improve operational safety and…

Robotics · Computer Science 2025-11-14 Lorenzo Pagliara , Violeta Redondo , Enrico Ferrentino , Manuel Ferre , Pasquale Chiacchio

Laboratory robotics offer the capability to conduct experiments with a high degree of precision and reproducibility, with the potential to transform scientific research. Trivial and repeatable tasks; e.g., sample transportation for analysis…

Rapid progress in imitation learning, foundation models, and large-scale datasets has led to robot manipulation policies that generalize to a wide-range of tasks and environments. However, rigorous evaluation of these policies remains a…

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