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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

One of the most important aspects of autonomous systems is safety. This includes ensuring safe human-robot and safe robot-environment interaction when autonomously performing complex tasks or in collaborative scenarios. Although several…

Robotics · Computer Science 2023-12-18 Moritz Eckhoff , Dennis Knobbe , Henning Zwirnmann , Abdalla Swikir , Sami Haddadin

Cable-Driven Parallel Robots (CDPRs) offer high payload capacities, large translational workspace and high dynamic performances. The rigid base frame of the CDPR is connected in parallel to the moving platform using cables. However, their…

Robotics · Computer Science 2021-01-11 Marceau Métillon , Philippe Cardou , Kévin Subrin , Camilo Charron , Stéphane Caro

This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing key challenges in collision detection and minimum distance estimation. By combining…

Robotics · Computer Science 2026-01-23 Sarvin Ghiasi , Majid Roshanfar , Jake Barralet , Liane S. Feldman , Amir Hooshiar

Understanding how humans respond to uncertainty is critical for designing safe and effective physical human-robot interaction (pHRI), as physically working with robots introduces multiple sources of uncertainty, including trust, comfort,…

Robotics · Computer Science 2025-12-10 Yixiang Lin , Tiancheng Yang , Jonathan Eden , Ying Tan

One way of ensuring operator's safety during human-robot collaboration is through Speed and Separation Monitoring (SSM), as defined in ISO standard ISO/TS 15066. In general, it is impossible to avoid all human-robot collisions: consider for…

Robotics · Computer Science 2024-01-08 Shohei Fujii , Quang-Cuong Pham

This paper presents an approach for learning online generation of collision-free and torque-limited robot trajectories. In order to generate future motions, a neural network is periodically invoked. Based on the current kinematic state of…

Robotics · Computer Science 2022-10-21 Jonas C. Kiemel , Torsten Kröger

We present a model predictive controller (MPC) that automatically discovers collision-free locomotion while simultaneously taking into account the system dynamics, friction constraints, and kinematic limitations. A relaxed barrier function…

Robotics · Computer Science 2021-03-26 Magnus Gaertner , Marko Bjelonic , Farbod Farshidian , Marco Hutter

This paper considers a scenario where a robot and a human operator share the same workspace, and the robot is able to both carry out autonomous tasks and physically interact with the human in order to achieve common goals. In this context,…

Robotics · Computer Science 2021-06-15 Martina Lippi , Giuseppe Gillini , Alessandro Marino , Filippo Arrichiello

Torque control algorithms which consider robot dynamics and contact constraints are important for creating dynamic behaviors for humanoids. As computational power increases, algorithms tend to also increase in complexity. However, it is not…

Robotics · Computer Science 2017-01-31 Sean Mason , Nicholas Rotella , Stefan Schaal , Ludovic Righetti

In Human-Robot Collaboration, safety mechanisms such as Speed and Separation Monitoring and Power and Force Limitation dynamically adjust the robot's speed based on human proximity. While essential for risk reduction, these mechanisms…

Robotics · Computer Science 2025-12-22 Marco Faroni , Alessio Spanò , Andrea M. Zanchettin , Paolo Rocco

RL is increasingly being used to control robotic systems that interact closely with humans. This interaction raises the problem of safe RL: how to ensure that a RL-controlled robotic system never, for instance, injures a human. This problem…

Machine Learning · Computer Science 2023-02-03 Jack R. P. Hanslope , Laurence Aitchison

Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength. This paper explores the challenges and solutions for…

Robotics · Computer Science 2024-03-28 Zach J. Patterson , Wei Xiao , Emily Sologuren , Daniela Rus

When robots handle navigation tasks while avoiding collisions, they perform in crowded and complex environments not as good as in stable and homogeneous environments. This often results in a low success rate and poor efficiency. Therefore,…

Robotics · Computer Science 2024-12-23 Yanying Zhou , Shijie Li , Jochen Garcke

Hybrid rigid-soft robots combine the precision of rigid manipulators with the compliance and adaptability of soft arms, offering a promising approach for versatile grasping in unstructured environments. However, coordinating hybrid robots…

There is invariably a trade-off between safety and efficiency for collaborative robots (cobots) in human-robot collaborations. Robots that interact minimally with humans can work with high speed and accuracy but cannot adapt to new tasks or…

Robotics · Computer Science 2022-10-13 Xiangjie Yan , Yongpeng Jiang , Chen Chen , Leiliang Gong , Ming Ge , Tao Zhang , Xiang Li

Compliance control is essential for safe physical interaction, yet its adoption is limited by hardware requirements such as force torque sensors. While recent reinforcement learning approaches aim to bypass these constraints, they often…

Robotics · Computer Science 2026-03-03 Haochen Shi , Songbo Hu , Yifan Hou , Weizhuo Wang , Karen Liu , Shuran Song

Aerial robots are a well-established solution for exploration, monitoring, and inspection, thanks to their superior maneuverability and agility. However, in many environments, they risk crashing and sustaining damage after collisions.…

Robotics · Computer Science 2025-11-03 Anton Bredenbeck , Teaya Yang , Salua Hamaza , Mark W. Mueller

Humanoid robots rely on multi-contact planners to navigate a diverse set of environments, including those that are unstructured and highly constrained. To synthesize stable multi-contact plans within a reasonable time frame, most planners…

Robotics · Computer Science 2024-10-14 Carlos Gonzalez , Luis Sentis

Human motion prediction is non-trivial in modern industrial settings. Accurate prediction of human motion can not only improve efficiency in human robot collaboration, but also enhance human safety in close proximity to robots. Among…

Robotics · Computer Science 2020-01-28 Weiye Zhao , Liting Sun , Changliu Liu , Masayoshi Tomizuka