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van der Spaa, L.F. (author)Physical human-robot cooperation (pHRC) has the potential to combine human and robot strengths in a team that can achieve more than a human and a robot working on the task separately. However, how much of the potential can be realized depends on the quality of cooperation, in which awarenes of the partner’s intention and preferences plays an...doctoral thesis 2024
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LIU, Fang-Yin (author)This project aims to introduce engineering in a way that captures students' interest. In order to motivate studernts to try it out, instead of limited by their past experience. Therefore, expanding the original knowledge of engineering during the design ideation process becomes crucial. Beginning with the identification of factors contributing...master thesis 2024
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Menger, Dehlia (author)Soft robots, characterised by compliant mechanisms (CMs) made from low-stiffness materials, offer improved adaptability compared to traditional, rigid robots. These CMs are often actuated by pressure loads. Moreover, soft robots provide new possibilities in the area of robotics. They can be used in search and rescue and interact safely in...master thesis 2024
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Bhatti, Ghanishtha (author)Soft robots are characterized by compliant elements that introduce heightened kinematic complexity compared to their rigid counterparts. Such systems, with infinite degrees of freedom, are inherently underactuated, making precise real-time shape regulation a challenging task. Model-based controllers, utilizing tractable reduced-order modelling...master thesis 2024
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Lee, Hyunmin (author)The hospitality industry, struggling with significant staff shortages, has increasingly turned to service robots as a solution. However, the prevalent service robot’s design with anthropomorphic appearance is considered inharmonious with the fine-dining restaurant ambiance and may harm the guests’ perception of the service. An alternative...master thesis 2024
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Kok, Wouter (author)In this master thesis, the development of an innovative gripper specifically designed for grasping the delicate peduncles of vine tomato trusses is presented. This research addresses a critical challenge in agricultural automation: efficiently and safely manipulating high-value crops without causing damage. The thesis begins with a comprehensive...master thesis 2024
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- Yildiz, Haydar (author) master thesis 2024
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- van Paassen, Daniel (author) master thesis 2024
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Ravenberg, Jevon (author)In this work, we propose a method of processing patient input on discomfort level during robot shoulder physiotherapy into discomfort maps. These maps represent the patient's discomfort distribution throughout the range of motion of the shoulder, interpretable by both physiotherapists and robots. This method consists of three parts: the patient...master thesis 2024
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Kockelkoren, Michiel (author)In recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception...master thesis 2024
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van den Bos, Jirri (author)Improved productivity and a higher level of sustainability are modern day challenges faced by the building industry that are currently being and could further be solved by a higher degree of automation. Freeform architecture is still in its infancy but the demand for it is growing. Reusable building elements are a rarity in freeforms. This...master thesis 2024
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Stella, F. (author), Della Santina, C. (author), Hughes, Josie (author)The control possibilities for soft robots have long been hindered by the need for reliable methods to estimate their configuration. Inertial measurement units (IMUs) can solve this challenge, but they are affected by well-known drift issues. This letter proposes a method to eliminate this limitation by leveraging the Piecewise Constant...journal article 2024
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Pinskier, Josh (author), Wang, Xing (author), Liow, Lois (author), Xie, Yue (author), Kumar, Prabhat (author), Langelaar, Matthijs (author), Howard, David (author)Soft grippers are ideal for grasping delicate, deformable objects with complex geometries. Universal soft grippers have proven effective for grasping common objects, however complex objects or environments require bespoke gripper designs. Multi-material printing presents a vast design-space which, when coupled with an expressive computational...journal article 2024
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Schrijvershof, Pim (author), Rahimi, A. Masie (author), Leone, Nicola (author), Bloemendaal, Alexander (author), Daams, Freek (author), Arezzo, Alberto (author), Mintz, Yoav (author), Horeman, T. (author)Surgeons performing robotic-assisted laparoscopic surgery experience physical stress and overuse of shoulder muscles due to sub-optimal arm support during surgery. The objective is to present a novel design and prototype of a dynamic arm support for robotic laparoscopic surgery to evaluate its ergonomics and performance on the AdLap-VR...journal article 2024
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Postema, R.R. (author), Hardon, Hidde (author), Rahimi, A. Masie (author), Horeman, Roel (author), Nickel, Felix (author), Dankelman, J. (author), Bloemendaal, A.L.A. (author), van der Elst, M. (author), van der Peet, Donald L. (author), Daams, Freek (author), Hardon, S.F. (author), Horeman, T. (author)Collision feedback about instrument and environment interaction is often lacking in robotic surgery training devices. The PoLaRS virtual reality simulator is a newly developed desk trainer that overcomes drawbacks of existing robot trainers for advanced laparoscopy. This study aimed to assess the effect of haptic and visual feedback during...journal article 2024
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Kunavar, Tjasa (author), Jamšek, Marko (author), Avila-Mireles, Edwin Johnatan (author), Rueckert, Elmar (author), Peternel, L. (author), Babič, Jan (author)During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in the understanding of how an individual can improve or acquire new skills. However, the way in...journal article 2024
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Peters, L. (author), Bajcsy, Andrea (author), Chiu, Chih Yuan (author), Fridovich-Keil, David (author), Laine, Forrest (author), Ferranti, L. (author), Alonso-Mora, J. (author)Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty. In this work we take a game-theoretic perspective on contingency planning, tailored to multi-agent scenarios in which a robot's actions impact the...journal article 2024
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Zhu, J. (author), Gienger, Michael (author), Franzese, G. (author), Kober, J. (author)Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot only, which greatly limited the performance of the dressing assistance. In fact, healthcare professionals...journal article 2024
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Burzyński, Piotr (author), Pawłuszewicz, Ewa (author), Ambroziak, Leszek (author), Sharma, Suryansh (author)This study explores the kinematic model of the popular RHex hexapod robots which have garnered considerable interest for their locomotion capabilities. We study the influence of tripod trajectory parameters on the RHex robot’s movement, aiming to craft a precise kinematic model that enhances walking mechanisms. This model serves as a cornerstone...journal article 2024
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Wilde, N. (author), Alonso-Mora, J. (author)We study the problem of finding statistically distinct plans for stochastic task assignment problems such as online multi-robot pickup and delivery (MRPD) when facing multiple competing objectives. In many real-world settings robot fleets do not only need to fulfil delivery requests, but also have to consider auxiliary objectives such as...journal article 2024