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Loopik, Hugo (author)
This paper addresses the research question: “How can a human-robot team achieve co-learning, and interdependence in physically embodied tasks?”<br/>A method has been developed that enables a human-robot team to co-learn the handover of an object from the robot to the human. Five design requirements were composed to address the challenges of...
master thesis 2023
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Vermin, Berry (author)
The increase in online retail demand has stimulated automation in order picking systems, leading to new challenges and opportunities in task assignment and scheduling. In partially automated order picking systems, such challenges and opportunities exist regarding human factors implementation in the job-shop scheduling problem, an optimisation...
master thesis 2023
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van Ginneken, Sebastiaan (author)
Hand-worn haptic systems must be able to produce high-quality haptics while also being lightweight and energy-efficient. In order to meet market expectations, research is being done into novel drivetrains that may be implemented in hand worn devices. This is being pushed forward by the growing demand in the virtual reality sector, which is...
master thesis 2022
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Kuitert, Sjoerd (author)
Robotic teleoperation has gained popularity in various applications, including the nuclear industry, where the experience and intelligence of a human operator is necessary for making complex decisions that are beyond the autonomy of robots. Human-robot interfaces that help strengthen an operator’s situational awareness without inducing excessive...
master thesis 2022
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van Dam, Jessie (author)
To safely deploy legged robots in the real world, it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force. Therefore, a collision detection, isolation, and identification pipeline is proposed for a quadrupedal manipulator. An approach based on band-pass...
master thesis 2022
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Sevenster, Annemartijne (author)
Overtaking on two-lane roads can cause dangerous situations, due to drivers’ errors during the gap acceptance decision. Understanding gap acceptance decisions can help mitigate these situations. Response time (i.e. the time it takes the driver to evaluate the gap and make a decision) has been shown to provide valuable insights into the cognitive...
master thesis 2022
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Flipse, Lorenzo (author)
To make the cooperation within a physical human-robot team as efficient as possible, the team members must be able to co-adapt.<br/>We developed and evaluated a robot that adapts to a human, using an adaptation strategy, in such a way as to guide the co-adaptation to have a positive effect on human task contribution and team performance. <br/>A...
master thesis 2021
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Sabnis, Nihar (author)
When a trainee is (re)learning a skilled movement, physical guidance from a trainer is crucial. Yet, providing physical cues to guide movements is highly challenging when training is digitally mediated (e.g.remotely). This work demonstrates the utility of pseudo forces generated by a wearable tactile interface for providing non-intrusive...
master thesis 2021
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Koerten, Klaas (author)
Traffic jams occurring on highways cause increased travel time as well as increased fuel consumption and crashes. Traffic jams without a clear cause, such as an on-ramp or an accident, are called phantom traffic jams and are said to make up 50% of all traffic jams. They are the result of an unstable traffic flow caused by human driving behaviour...
master thesis 2021
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Staps, Sam (author)
Conventional steering systems in passenger vehicles have a mechanically fixed steering ratio. The steering sensitivity, defined as the amount of vehicle response to the driver's steering wheel input, remains fixed with changing road environments. Research has shown that driving comfort and safety can be improved when the vehicle's steering...
master thesis 2021
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Weijerman, Mark (author)
Currently, active steering systems are implemented in production vehicles to assist the driver by varying the steering response, where the adaptation of the steering response is either initiated by the vehicle or by the driver. Though studies have shown that these steering systems affect the steering performance positively, the effect on driving...
master thesis 2021
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van Leeuwen, Nico (author)
This study proposes an LCA system that provides haptic guidance during lane changes. This system is fully integrated with LKA functionality to provide continuous lateral support during highway driving. Two different system configurations of this LCA are investigated. One is a generalized LCA that provides lane change reference trajectories based...
master thesis 2021
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Khanam, Tarbiya (author)
In conditionally automated driving, drivers should be free to engage in non-driving-related tasks until warned by the system to take over. Over-reliance on automation can lead to dangerous driving behaviour such as engagement in non-related driving tasks during the transition phase and delayed response to take over requests. Take-over time and...
master thesis 2021
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Klevering, Stijn (author)
Tele-impedance can increase interaction perfor- mance between a robotic tool and unstructured/unpredictable environment during teleoperation. However, the existing tele- impedance interfaces have several ongoing issues, such as long calibration times and various obstructions for the human oper- ator. In addition, they are all designed to be...
master thesis 2021
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Heusdens, Vianne (author)
We are living in an aging society, which is putting an increasingly heavy strain on our healthcare system. As people age many become less mobile, leading to loneliness and a deteriorating health. Subsequently elderly often end up in nursing homes; an experience which is unpleasant as well as expensive. Assisting the elderly with robotic devices...
master thesis 2021
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Meccanici, Floris (author)
The general approach to generate collision free motion in a constraint environment is to use path planners, which demand a known environment and potentially fail otherwise. Learning from Demonstration (LfD) can be used instead to teach the robot unknown parts of the environment, such as a goal deviation or an unforeseen obstacle. The general...
master thesis 2021
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Schol, Jasper (author)
Teleoperated semi-autonomous care robots aim to alleviate work pressure from care workers. Unlike many traditional stiff position-controlled robots, the care robot is operating in a shared environment with humans that is often unpredictable and unknown. Especially when dealing with tasks that involve contact with the environment, modulation of...
master thesis 2020
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van den Berg, Alex (author)
Haptic assistance (HA) has been shown to be useful in a wide variety of applications by providing the benefits of automation while keeping the human in the loop. In recent years, providing additional visual feedback has been found to provide benefits to HA interfaces by complementing their advantages and mitigating their weaknesses. However, the...
master thesis 2020
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Folmer, Martijn (author)
Programming robots with verbal commands is limited by the capabilities of the utilized natural language parser. A simple natural language parser which can understand only keywords and small phrases may be easy to use, but limited in what it can interpret and convey. Alternatively, a natural language parser which understands more complex commands...
master thesis 2020
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Thirani, Kushal (author)
This study proposes the creation of a multi-modal feedback system to guide humans towards ergonomic poses. A number of studies have tried to come up with methods where subjects are alerted upon crossing biomechanical or ergonomic thresholds while doing a task but not many have tried to successfully and efficiently guide users to ergonomic...
master thesis 2020
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