Recently, shale gas has become an important energy source. Directional drilling is an imperative technology when it comes to excavating shale gas because it exists in underground in horizontally spaced areas. A rotary...
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This paper introduces methods for efficiently classifying mangoes intended for export, a market valued at approximately 4,500 million baht annually. The classification process is divided into two primary components: s...
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Actor-Critic (AC) architecture has the salient feature, for the plethora of Reinforcement Learning schemes, that two intertwining neural networks (NN) collaborate to deploy a motor learning mechanism that oversees and...
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Recently, there has been a significant advancement in text-to-image diffusion models, leading to groundbreaking performance in 2D image generation. These advancements have been extended to 3D models, enabling the gene...
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Path planning on a 2D-grid is a well-studied problem in robotics. It usually involves searching for a shortest path between two vertices on a grid. Single-source path planning is a modified problem which asks to find ...
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Reinforcement Learning (RL) is characterized by enforcing a reward collection mechanism that qualifies task performance aimed at optimizing a value function that tunes the action (control). In contrast to control theo...
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This work presents a hierarchical navigation architecture and cascade classifier for sample search and identification on a space exploration rover. A three tier navigation architecture and inverse Jacobian based robot...
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This work presents a hierarchical navigation architecture and cascade classifier for sample search and identification on a space exploration rover. A three tier navigation architecture and inverse Jacobian based robot arm controller are presented. The algorithms are implemented on AERO, the Autonomous Exploration Rover, participating in the NASA Sample Return Robot Centennial Challenge in 2013 and initial results are demonstrated.
This paper describes the design and implementation of the controls and power plant for a robotic arm for physical human-robot interaction on a cyber-physical wheelchair system. There are almost 50 million people in th...
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This paper describes the design and implementation of the controls and power plant for a robotic arm for physical human-robot interaction on a cyber-physical wheelchair system. There are almost 50 million people in the US who have some degree of disability, and more than 6.5 million of them experience problems with self-care. The aim of this research is to develop a system to control a modular cable-driven arm which will allow locked-in individuals, who are unable to interact with the physical world through movement and speech, to perform activities of daily living (ADL). We present the design of a compact power plant for the 5DOF arm. The robot control is implemented using the Robot Operating System (ROS) framework.
Pet owners experience difficulty in understanding their pets' body language and its implications for animal welfare, given that animals cannot utilize human speech to communicate their emotions and health conditio...
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This paper presents the design and experimental validation of a modular robotic platform for planetary exploration. A rover, ORYX 2.0, is designed and developed to serve as a research platform that can transport paylo...
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ISBN:
(纸本)9781467324199
This paper presents the design and experimental validation of a modular robotic platform for planetary exploration. A rover, ORYX 2.0, is designed and developed to serve as a research platform that can transport payloads over rough terrain. Field testing is conducted to evaluate the mobility potential of ORYX 2.0's passive kinematic suspension. Data from field testing is analyzed to identify the wheel velocities over rough terrain when straight line trajectories are desired. A simulation tool is used to estimate the terrain profile, using the 3-axis orientation data and angle of the rocking suspension. The approach used in estimating terrain profiles can effectively be used to improve the rover performance for trajectory tracking control.
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