A5018063762- Robotics and Automated Systems
- Digital Transformation in Industry
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Robot Manipulation and Learning
- Aerospace Engineering and Energy Systems
- IoT-based Smart Home Systems
- Guidance and Control Systems
- Aerospace and Aviation Technology
- Teleoperation and Haptic Systems
- Modular Robots and Swarm Intelligence
- Fire Detection and Safety Systems
- Video Surveillance and Tracking Methods
- Control and Dynamics of Mobile Robots
- Autonomous Vehicle Technology and Safety
- Robotic Path Planning Algorithms
- Ethics and Social Impacts of AI
- Total Knee Arthroplasty Outcomes
- Ergonomics and Musculoskeletal Disorders
- Evacuation and Crowd Dynamics
- Robotics and Sensor-Based Localization
- Non-Invasive Vital Sign Monitoring
- Anomaly Detection Techniques and Applications
- Context-Aware Activity Recognition Systems
- Human-Automation Interaction and Safety
Bristol Robotics Laboratory
2021-2024
University of the West of England
2020-2024
University of Bonn
2023-2024
Indian Institute of Technology Madras
2019
Indira Gandhi Institute of Technology
2018
Abstract Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear each year, resulting in trend towards robotic deployments gain an improved understanding during decommissioning phases. The UK Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) are solution improve procedures and reduce risks characterisation of sites. authors present novel implementation Cyber‐Physical System (CPS) deployed...
Abstract The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber–physical systems have improved robotic platforms this through digital twin (DT) technology. DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems. primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits...
Abstract The prime focus of this work is to estimate stability and control derivatives an airship in a completely nonlinear environment. A complete six degrees freedom model has its aerodynamic as functions angle attack. Estimating the parameters environment challenging it demands exhaustive dataset that could cover entire regime operation airship. In work, data generation achieved by simulating mathematical for different trim conditions obtained from continuation analysis. simulated using...
Abstract Purpose of Review The field humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their surroundings, leading improved safety, efficiency, user experience. This scientific study investigates various modalities techniques employed robots, including visual, auditory, tactile sensing by exploring recent state-of-the-art approaches for perceiving understanding the internal state, environment, objects, human activities. Recent...
The knee joint is a complex structure that plays significant role in the human lower limb for locomotion activities daily living. However, we are still not quite there yet where can replicate functions of bones and attached ligaments to degree success. This paper presents current trend development joints based on bio-inspiration concepts modern bio-inspired research field prostheses, power-assist suits mobile robots. also reviews existing literature describe major turning points during...
Movement within the human body is made possible by joints connecting two or more elements of musculoskeletal system. Losing one these connections can seriously limit mobility, which in turn lead to depression and other mental issues. This particularly pertinent due a dramatic increase number lower limb amputations resulting from trauma diseases such as diabetes. The ideal prostheses should re-establish functions movement missing part patient. As result, prosthetic solution has be tested...
The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber-physical systems have improved robotic platforms this through digital twin technology. Digital twins enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems. We propose a multimodal immersive platform fleets based on ROS-Unity3D. system design integrates...
The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation.Advances in cyber-physical systems have improved robotic platforms this through digital twin (DT) technology.DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems.The primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits context...
Mobile robots are increasingly being used in noisy environments for social purposes, e.g. to provide support healthcare or public spaces. Since these also operate beyond human sight, the question arises as how different robot types, ambient noise cognitive engagement impacts detection of by their sound. To address this research gap, we conducted a user study measuring auditory distances wheeled (Turtlebot 2i) and quadruped (Unitree Go 1), which emit consequential sounds when moving....
The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation.Advances in cyber-physical systems have improved robotic platforms this through digital twin (DT) technology.DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems.The primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits context...
The presence of robots amongst pedestrians affects them causing deviation to their trajectories. Existing methods suffer from the limitation not being able objectively measure this in unseen cases. In order solve issue, we introduce a simulation framework that repetitively measures and benchmarks trajectory due driven by different navigation algorithms. We simulate behavior using an enhanced Social Force Model (SFM) with robot force component accounts for influence on pedestrian behavior,...
The prime objective of this work is to estimate stability and control derivatives an airship. complete, nonlinear mathematical model aerial vehicles has its aero as a function angle attack. This along with the necessity for exhaustive dataset complicates estimation procedure. In work, data are generated by simulating airship different trim conditions obtained from continuation analysis. A modular neural network then trained using back-propagation Adam optimization algorithm each aerodynamic...
The design of the human knee joint has been a challenging task due to presence intricate parts, complex mechanisms and their interdependence which joins them together. A bio-inspired for condylar proposed in earlier publications [1], [2]. However, manufacturing limitation was not considered. This paper introduces de-risked optimised through use standard techniques based on gathered data from robotics leg test bench. Moreover, this presents an derived state-of-the-art artificial intelligence...
In the past century many medical advancements in prosthetics have been achieved, however, discomfort prosthetic socket remains one of toughest challenges faced by both amputees and prosthetists. Wearing an uncomfortable can lead to users discontinuing use their subsequently reducing long-term mobility; negatively impact psychological health; prolong rehabilitation. This paper continues research conducted earlier publications [1], [2], which introduced concept automated ISO standard robotic...
As industry is moving towards a new digital rev-olution, identifying workers' mental and physical status key to improved productivity in manufacturing scenario. The main objective here provide an overview of sensing technologies discuss suitability for taking physiological measurements workers collaborating with robots. A method rating sensors application areas has been discussed which takes into account expert reviews. Selected commercially-available are rated based on 9 evaluation keys...
Purpose of Review: The field humanoid robotics, perception plays a fundamental role in enabling robots to interact seamlessly with humans and their surroundings, leading improved safety, efficiency, user experience. This scientific study investigates various modalities techniques employed robots, including visual, auditory, tactile sensing by exploring recent state-of-the-art approaches for perceiving understanding the internal state, environment, objects, human activities. Recent Findings:...