Browsing by Subject "Robotics"
Now showing items 1-20 of 35
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(2017-05-23)Buildings account for approximately 40% of all U.S. energy usage and carbon emissions. Reducing energy usage and improving efficiency in buildings has the potential for significant environmental and economic impacts. To ...
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(2023-03-16)Augmented Reality (AR) integrates virtual content into our actual world. When running AR applications in an unknown environment, AR must construct an environment map and localize itself under this map. It is the classic ...
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(2020-04-27)Motion planning is an important problem in robotics which addresses the question of how to transition an actor between states in an environment subject to obstacles, kinematic, and other constraints. Exact motion planning ...
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(2016-07-26)Planning motion is an essential component for any autonomous robotic system. An intelligent agent must be able to efficiently plan collision-free paths in order to move through its world. Despite its importance, this problem ...
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(2022-01-11)As the demand for organic food grows, the concern of herbicides usage rises, and the herbicide-resistant weed surges. Compared to chemical, mechanical weed control has become a favorite in agricultural production. Precision ...
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(2023-08-03)Extravehicular Activity (EVA) spacesuits have been developed since the early 1960s to protect astronauts from their environment outside of the spacecraft. EVA suits must protect astronauts in extreme environments while ...
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When out on a search and rescue mission, it is important to have tools that can easily keep track of the situation that is being handled. Autonomous drones have the ability to quickly collect a batch of images of the scene ...
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(Private Enterprise Research Center, Texas A&M University; Texas A&M University. Library, 2018-03-30)Advanced automation and artificial intelligence, or ‘robot’ technology use, continues to expand across many industries. Recent decreasing labor market movements fuels the question: How do these technologies affect ...
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With the rise of reinforcement learning, a number of physics engines and frameworks have been used to simulate virtual environments. Additionally, various benchmarks have been popularized in order to assess the ability of ...
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(2020-03-17)Recent successes combine reinforcement learning algorithms and deep neural networks, despite reinforcement learning not being widely applied to robotics and real world scenarios. This can be attributed to the fact that ...
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(Texas A&M University. Libraries, 2019-05)In our graphic lab, we have developed many physics-based animations focusing on muscles and we hope to create an interactive interface with tactile feedback so that the users can not only see those physical features but ...
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(2012-08-27)Probabilistic Roadmap Methods (PRMs) are one of the most used classes of motion planning methods. These sampling-based methods generate robot configurations (nodes) and then connect them to form a graph (roadmap) containing ...
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(2012-05-09)RRTs (Rapidly-Exploring Random Trees) have shown wide applications in robotics. RRTs are a type of sampling-based motion planners that expand to fill the space starting from one or more root configurations. RRTs are excellent ...
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(2009-05-15)A motion planner finds a sequence of potential motions for a robot to transit from an initial to a goal state. To deal with the intractability of this problem, a class of methods known as sampling-based planners build ...
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(2016-08-24)Aging natural gas pipeline infrastructure is becoming an increasingly large problem in the United States. There are more than 2.4 million miles of pipelines currently in use, all of which require regular maintenance and ...
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(2015-08-12)Recently there has been surge of research in motion planning for tethered robots. In this problem a planar robot is connected via a cable of limited length to a fixed point in R2. The configuration space in this problem ...
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(2017-08-01)With the proliferation of successful minimally invasive surgical techniques, comes the challenge of shrinking the size of surgical instruments further to facilitate use in applications such as neurosurgery, pediatric ...
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A method to control a system of robots to persistently perform a task while operating under a constraint such as battery life is presented. Persistently performing a task is defined as continuously executing the task without ...
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(2015-09-21)We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
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(2023-08-15)Optical navigation has recently become increasingly popular as a method of guidance, navigation and control due to its unique advantages over other navigation systems. As a non-contact and non-destructive system, optical ...