Essays about: "robot dynamics"
Showing result 11 - 15 of 60 essays containing the words robot dynamics.
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11. Construction Supervision with Augmented Reality
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Construction sites are key points regarding implementing robot supervision to create more secure, reliable, and free hand-work workspaces. This project’s scope is to develop a complete interpretation of a modern concept of surveillance. READ MORE
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12. A Trust-Region Method for Multiple Shooting Optimal Control
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, mobile robots have gained tremendous attention from the entire society: the industry is aiming at selling more intelligent products while the academia is improving their performance from all perspectives. Real world examples include autnomous driving vehicles, multirotors, legged robots, etc. READ MORE
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13. Anomaly detection on a hybrid kinematic machine
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Detecting anomalies is a promising and current research subject that can have useful applications, for example in the field of robotics. In this thesis, anomaly detection is investigated using a hybrid kinematic machine, which is a pick-and-place robot that excels at moving objects at high speed and with great reach. READ MORE
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14. Building dense reconstructions with SLAM and Spot
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Having access to dense reconstruction of ongoing building constructions provides insight into the building process and could serve as both a tool for error detection and documentation of the actual outcome. In this thesis, Spot, the quadruped robot designed by Boston Dynamics is evaluated as a platform for site inspection. READ MORE
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15. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE