Searched for: subject%3A%22Imitability%22
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Long, Youyuan (author)
In Inverse Optimization (IO), it is hypothesized that experts, when making decisions, implicitly engage in solving an optimization problem. If we can reconstruct this optimization problem using the decision data of the expert, then the behavior of the expert can be emulated. In this thesis, a novel inverse optimization model, Kernel Inverse...
master thesis 2024
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Zhou, Longyu (author), Leng, Supeng (author), Wang, Q. (author)
With the development of communication networks and Artificial Intelligence (AI) technologies, Digital Twin (DT) now emerges to support various applications such as engineering, monitoring, controlling, healthcare and the optimization of cyber-physical systems. There is an increasing demand to create DTs that can represent physical entities...
journal article 2024
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Niemantsverdriet, Duuk (author)
Arguably the main goal of artificial intelligence is to create agents that can collaborate with humans to achieve a shared goal. It has been shown that agents that assume their partner to be optimal can converge to protocols that humans do not understand. Taking human suboptimality into consideration is imperative to perform well in a...
bachelor thesis 2023
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Hwangbo, Yesah (author)
Bone to be natural is a plastic surgery clinic making people find an identity and design appearance with a series of programs in the clinic; body scanning, plastic surgery, inpatient care, and archive. The operating room is a new bedroom, giving a domestic atmosphere by dividing customers’ space into staff and medical space.
master thesis 2023
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Ding, J. (author), Lam, Tin Lun (author), Ge, Ligang (author), Pang, Jianxin (author), Huang, Yanlong (author)
Bipedal locomotion has been widely studied in recent years, where passive safety (i.e., a biped rapidly brakes without falling) is deemed to be a pivotal problem. To realize safe 3-D walking, existing works resort to nonlinear optimization techniques based on simplified dynamics models, requiring hand-tuned reference trajectories. In this...
journal article 2023
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Sibona, F. (author), Luijkx, J.D. (author), van der Heijden, D.S. (author), Ferranti, L. (author), Indri, Marina (author)
The up-and-coming concept of Industry 5.0 fore-sees human-centric flexible production lines, where collaborative robots support human workforce. In order to allow a seamless collaboration between intelligent robots and human workers, designing solutions for non-expert users is crucial. Learning from demonstration emerged as the enabling...
conference paper 2023
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Pérez-Dattari, Rodrigo (author), Kober, J. (author)
Learning from humans allows nonexperts to program robots with ease, lowering the resources required to build complex robotic solutions. Nevertheless, such data-driven approaches often lack the ability to provide guarantees regarding their learned behaviors, which is critical for avoiding failures and/or accidents. In this work, we focus on...
journal article 2023
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Celemin, Carlos (author), Kober, J. (author)
In order to deploy robots that could be adapted by non-expert users, interactive imitation learning (IIL) methods must be flexible regarding the interaction preferences of the teacher and avoid assumptions of perfect teachers (oracles), while considering they make mistakes influenced by diverse human factors. In this work, we propose an IIL...
journal article 2023
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Zhou, Longyu (author), Leng, Supeng (author), Wang, Q. (author), Ming, Yujun (author), Liu, Q. (author)
The development of the intelligent Internet of Things has facilitated the adoption of high-efficiency Multiple Targets Tracking (MTT) in many civil security applications. However, existing MTT technologies cannot offer full capability in accurate and real-time MTT for civil security. Many attractive applications in the next-generation...
journal article 2023
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Bornhijm, Bram (author)
Whilst the extraction of teeth (exodontia) remains one of the oldest and most performed surgeries on earth, very little is understood about the procedure itself. Especially in the area of the required movements, torques and forces to remove specific teeth and how these interact with existing tissue. This knowledge gap has been hypothesized to...
master thesis 2022
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Manivannan, Denesh (author)
Socially compliant robot navigation in pedestrian environments remains challenging owing to uncertainty in human behavior and varying pedestrian preferences in different social contexts. Local optimization planners like Model Predictive Control can incorporate collision avoidance constraints, but they can only lead to socially compliant...
master thesis 2022
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DU, YURUI (author)
In recent years, imitation learning (IL) has been widely used in industry as the core of autonomous vehicle (AV) planning modules. However, previous work on IL planners shows sample inefficiency and low generalisation in safety-critical scenarios, on which they are rarely tested. As a result, IL planners can reach a performance plateau where...
master thesis 2022
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Kaaij, Otto (author)
Machine learning models are being used extensively in many high impact scenarios. Many of these models are ‘black boxes’, which are almost impossible to interpret. Successful implementations have been limited by this lack of interpretability. One approach to increasing interpretability is to use imitation learning to extract a more interpretable...
bachelor thesis 2022
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Meijer, Caspar (author)
Machine learning models are increasingly being used in fields that have a direct impact on the lives of humans. Often these machine learning models are black-box models and they lack transparency and trust which is holding back the implementation. To increase transparency and trust this research investigates whether imitation learning,...
bachelor thesis 2022
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Wols, Jonathan (author)
Imitation learning algorithms, such as AggreVaTe, have proven successful in solving many challenging tasks accurately and efficiently. In practice, however, they have not been applied quite as much. Black box policies produced by imitation learning algorithms can not ensure the safety needed for real-world applications. This paper extends this...
bachelor thesis 2022
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Arslan, Furkan (author), Aydoğan, Reyhan (author)
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests. Instead of designing a hand-crafted decision-making module, this work proposes a novel bidding...
journal article 2022
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Pérez-Dattari, Rodrigo (author), Ferreira de Brito, B.F. (author), de Groot, O.M. (author), Kober, J. (author), Alonso-Mora, J. (author)
The successful integration of autonomous robots in real-world environments strongly depends on their ability to reason from context and take socially acceptable actions. Current autonomous navigation systems mainly rely on geometric information and hard-coded rules to induce safe and socially compliant behaviors. Yet, in unstructured urban...
journal article 2022
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Mészáros, A. (author), Franzese, G. (author), Kober, J. (author)
This work investigates how the intricate task of a continuous pick & place (P&P) motion may be learned from humans based on demonstrations and corrections. Due to the complexity of the task, these demonstrations are often slow and even slightly flawed, particularly at moments when multiple aspects (i.e., end-effector movement,...
journal article 2022
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Lopez Bosque, Irene (author)
Interactive imitation learning refers to learning methods where a human teacher interacts with an agent during the learning process providing feedback to improve its behaviour. This type of learning may be preferable with respect to reinforcement learning techniques when dealing with real-world problems. This fact is especially true in the case...
master thesis 2021
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Suresh Kumar, Lalith Keerthan (author)
In this thesis, we propose a method titled "Task Space Policy Learning (TaSPL)", a novel technique that learns a generalised task/state space policy, as opposed to learning a policy in state-action space, from interactive corrections in the observation space or from state only demonstration data. This task/state space policy enables the agent to...
master thesis 2021
Searched for: subject%3A%22Imitability%22
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