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.
Passive averaging suspensions have been proven highly effective on rovers for improving mobility by providing ground compliance. However, the passive degree of freedom poses an added challenge to the controls problem....
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Passive averaging suspensions have been proven highly effective on rovers for improving mobility by providing ground compliance. However, the passive degree of freedom poses an added challenge to the controls problem. This paper presents a controller design to increase the accuracy of straight line trajectories for rovers with passive suspension on rough terrain. The chosen approach uses only proprioceptive sensors, a 3D kinematic model, and a trivial ground plane estimator algorithm to adjust individual wheel velocities based on estimates of terrain slope. This has distinct advantages to other techniques that use global position sensors and dynamic models which inevitably lead to more complex and computationally intensive solutions. The proposed controller is simulated in Matlab and found to be successful through experiments conducted with ORYX 2.0, a planetary rover research platform. This paper presents the feed forward velocity controller design, simulations, and experimental results for validation.
We report on progress on the "One-To-Many" (OTM) concept that allows a single electric motor to store energy in the form of elastic potential energy to drive multiple (e.g. hundred) motor units or independen...
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We report on progress on the "One-To-Many" (OTM) concept that allows a single electric motor to store energy in the form of elastic potential energy to drive multiple (e.g. hundred) motor units or independently controlled mechanical degrees of freedom. Critical to this concept is the OTM architecture which utilizes light weight, high-speed, energy efficient, robust, and cost-effective clutches that provide positional feedback. Here, we address linear springs as elastic mediums for energy storage and bi-stable solenoid based clutches that require minimal energy to transition between states. We analyze the power transfer of the system, discuss current and future designs and suggest avenues for potential applications of this practical technology.
When using commercialized robot assisted laparoscopic such as Da Vinci, surgeon has met some problem to depend only on the information by visual feedback. To solve this problem, haptic function is required. In order t...
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A haptic device is proposed which gives the user feedback information on their location and orientation of the obstacle through the mobile robot that detects the obstacle in an environment where the user cannot *** ro...
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A haptic device is proposed which gives the user feedback information on their location and orientation of the obstacle through the mobile robot that detects the obstacle in an environment where the user cannot *** robot recognizes the exact position of the obstacle through configuring the nested ultrasonic sensor and giving feedback information to the haptic *** haptic device consisting of five vibration motors can realize the haptic through the vibration of user's finger using the position information of the obstacle received *** addition,it has high accuracy to recognize the surrounding environment and realizes the various situations with the fuzzy controller and the nested ultrasonic sensors.
The purpose of this paper is a locomotion robot's battery charging. Using a LLC resonant circuit and magnetic resonance WPT(Wireless Power Transmission). The proposed this WPT system consists of transmitter and re...
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In the field of autonomous vehicle research, maintaining accurate estimates of a vehicle's velocities, position, and orientation is crucial to successful navigation. Normally, this information can be obtained thro...
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This paper proposes a real-time RGB-D (red-green-blue depth) 3D SLAM (simultaneous localization and mapping) system. Kinect style sensors give RGB-D data which contains 2D image and per-pixel depth information. 6-DOF ...
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In this paper we present a framework that allows a human and a robot to perform simultaneous manipulation tasks safely in close proximity. The proposed framework is based on early prediction of the human's motion....
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ISBN:
(纸本)9781467363563
In this paper we present a framework that allows a human and a robot to perform simultaneous manipulation tasks safely in close proximity. The proposed framework is based on early prediction of the human's motion. The prediction system, which builds on previous work in the area of gesture recognition, generates a prediction of human workspace occupancy by computing the swept volume of learned human motion trajectories. The motion planner then plans robot trajectories that minimize a penetration cost in the human workspace occupancy while interleaving planning and execution. Multiple plans are computed in parallel, one for each robot task available at the current time, and the trajectory with the least cost is selected for execution. We test our framework in simulation using recorded human motions and a simulated PR2 robot. Our results show that our framework enables the robot to avoid the human while still accomplishing the robot's task, even in cases where the initial prediction of the human's motion is incorrect. We also show that taking into account the predicted human workspace occupancy in the robot's motion planner leads to safer and more efficient interactions between the user and the robot than only considering the human's current configuration.
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