Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 74 for “"Uncertain environments"”.
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Probabilistic roadmaps in uncertain environments
Planning under uncertainty is a common requirement of robot navigation. Probabilistic roadmaps are an efficient method for generating motion graphs through the robot's configuration space, but do not inherently represent any uncertainty in the environment. In this thesis, the physical domain is …
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Directing rural cooperatives in uncertain environments
… forces. The research focused on perceptions of uncertainty by directors of rural cooperatives, sources of uncertainty, and organizational strategies for coping with uncertainty. Boards were viewed as informal boundary spanning units. The decision making and resource dependence perspectives were …
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Risk based control in uncertain environments
… trajectory often struggle with reliability in uncertain environments, and making control decisions in real-time. Using a map of risk to the robot's state, a risk gradient controller can be created to find paths back to safety from anywhere in the robot's reachable space. Despite generating a …
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Robust planning for heterogeneous UAVs in uncertain environments
… accomplish the mission in the presence of uncertainty in the information of the environment. This uncertainty could result from inherent sensing errors, incorrect prior information, loss of communication with teammates, or adversarial deception. This thesis investigates the role of …
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Model of flexible workforce management in uncertain environments
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
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Robust multi-UAV planning in dynamic and uncertain environments
… environment. The planner must also be robust to uncertainty in the situational awareness. This thesis investigates the impact of information uncertainty and environmental changes to the task assignment and path planning algorithms. Several new techniques are presented that both speed up and embed …
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Designing Sparse Representations for Efficient Planning in Uncertain Environments
… robots to navigate efficiently in large, outdoor environments, where the traversabilities of many regions are unknown prior to planning. If we reason about the uncertainty in the environment instead of assuming that all unknown space is free to move through, we can generate policies that result …
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Approximate multi-agent planning in dynamic and uncertain environments
Teams of autonomous mobile robotic agents will play an important role in the future of robotics. Efficient coordination of these agents within large, cooperative teams is an important characteristic of any system utilizing multiple autonomous vehicles. Applications of such a cooperative technology …
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Fast Path Planning in Uncertain Environments: Theory and Experiments
This dissertation addresses path planning for an autonomous vehicle navigating in a two dimensional environment for which an a priori map is inaccurate and for which the environment is sensed in real-time. For this class of application, planning decisions must be made in real-time. This work is …
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Multi-Objective Reinforcement Learning Framework for Unknown Stochastic & Uncertain Environments
This dissertation focuses on the problem of uncertainty handling during learning, by agents dealing in stochastic environments by means of Multi Objective Reinforcement Learning (MORL). Most previous investigations into multi objective reinforcement learning have proposed algorithms to deal with …
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Robust trajectory planning for unmanned aerial vehicles in uncertain environments
… the UAV must be able to overcome environmental uncertainties such as modeling errors, external disturbances, and an incomplete situational awareness. By utilizing planners which can autonomously navigate within such environments, the cost-effectiveness of UAV missions can be dramatically …
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Predictive modeling and socially aware motion planning in dynamic, uncertain environments
… navigation remains challenging, particularly in environments that entail frequent interactions with other dynamic agents. Specifically, safe and time efficient navigation may require (i) predictive modeling of agents with unknown intents (e.g., goals), and (ii) cooperative collision-free motion …
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Robust sampling-based motion planning for autonomous vehicles in uncertain environments
… vehicles often must overcome significant uncertainty in their understanding of the world around them. Real-world environments may be cluttered and highly dynamic, with uncertainty in both the current state and future evolution of environmental constraints. The vehicle may also face …
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WhatWhen2Ask: Cost-Aware LLM Querying for Autonomous Robots in Uncertain Environments
Autonomous agents operating in real-world environments must make decisions under uncertainty, facing challenges such as partial observability, sparse rewards, and long-horizon planning. While reinforcement learning (RL) enables agents to learn from experience, standard policies often struggle to …
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Risk Aware Planning and Probabilistic Prediction for Autonomous Systems under Uncertain Environments
… prediction for autonomous systems under uncertain environments. Motion planning under uncertainty looks for trajectories with bounded probability of collision with uncertain obstacles. Existing methods to address motion planning problems under uncertainty are either limited to Gaussian …
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A Nonlinear Dynamic Method for Supporting Large-Scale Decision-Making in Uncertain Environments
… for supporting decision making by reducing uncertainty in decision environments which are too large, dynamic and complex to be treated by traditional quantitative and simulation techniques. These environments are complex because of the free choice associated with human involvement, and the …
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Towards Efficient Planning for Navigation using Global Information in Large and Uncertain Environments
… to navigate quickly and efficiently in large and uncertain outdoor environments. We hypothesize that in such environments, global, uncertainty-aware information is necessary to enable high-quality planning. However, most existing systems do not model or plan using global, uncertainty-aware …
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Stochastic approaches to mobility prediction, path planning and motion control for ground vehicles in uncertain environments
… for their safety and use in unstructured environments. Most techniques and algorithms for performing these functions, however, assume precise knowledge of vehicle and/or environmental (i.e. terrain) properties. In practical applications, significant uncertainties are associated with the …
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The Virtue of Psychological Empowerment: How Organizational Culture Drives Behavioral Determinants of Workforce Agility in Uncertain Environments.
En la actualidad, en un entorno empresarial altamente competitivo y complejo, las dinámicas del desequilibrio afectan las organizaciones que solamente puede ser caracterizado como exponencial. En el contexto de un entorno empresarial volátil, incierto, complejo y ambiguo, el proceso de transformar …
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A Stackelberg signaling game for co-operative rendezvous in uncertain environments in a search-and-rescue context
Search and rescue (SAR) operations are challenging in the absence of a medium of communication between the rescuers and the rescuee. Natural signaling, grounded in rationality, can play a decisive role in achieving rapid and effective mitigation in such rescue scenarios. In this work, we model a …
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