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High-performance series elastic actuation
textMobile legged robots have the potential to restructure many aspects of our lives in the near future. Whether for applications in household care, entertainment, or disaster response, these systems depend on high-performance actuators to improve their basic capabilities. The work presented here focuses on developing new high-performance actuators, specifically series elastic actuators, to address this need. We adopt a system-wide optimization approach, dealing with factors which influence performance at the levels of mechanical design, electrical system design, and control. Using this approach and based on a set of performance metrics, we produce an actuator, the UT-SEA, which achieves leading empirical results in terms of power-to-weight, force control, size, and system efficiency. We also develop general high-performance control techniques for both force- and position-controlled actuators, some of which were adopted for use on NASA-JSC's Valkyrie Humanoid robot and were used during DARPA's DRC Trials 2013 robotics competition.Electrical and Computer Engineerin
An Omnidirectional Platform for Education and Research in Cooperative Robotics
In this paper we present a new, affordable, omnidirectional robot platform which is suitable
for research and education in cooperative robotics. We design and implement the platform for
the purpose of multi-agent object manipulation and transportation. The design consists of three
omnidirectional wheels with two additional traction wheels, making multirobot object manipulation
possible. It is validated by performing simple experiments using a setup with one robot and one
target object. The execution flow of a simple task (Approach–Press–Lift–Hold–Set) is studied. In
addition, we experiment to find the limits of the applied pressure and object orientation under certain
conditions. The experiments demonstrate the significance of our inexpensive platform for research
and education by proving its feasibility of use in topics such as collaborative robotics, physical
interaction, and mobile manipulation
Disturbance observer-based neural network control of cooperative multiple manipulators with input saturation
In this paper, the complex problems of internal forces and position control are studied simultaneously and a disturbance observer-based radial basis function neural network (RBFNN) control scheme is proposed to: 1) estimate the unknown parameters accurately; 2) approximate the disturbance experienced by the system due to input saturation; and 3) simultaneously improve the robustness of the system. More specifically, the proposed scheme utilizes disturbance observers, neural network (NN) collaborative control with an adaptive law, and full state feedback. Utilizing Lyapunov stability principles, it is shown that semiglobally uniformly bounded stability is guaranteed for all controlled signals of the closed-loop system. The effectiveness of the proposed controller as predicted by the theoretical analysis is verified by comparative experimental studies
Autonomous Systems, Robotics, and Computing Systems Capability Roadmap: NRC Dialogue
Contents include the following: Introduction. Process, Mission Drivers, Deliverables, and Interfaces. Autonomy. Crew-Centered and Remote Operations. Integrated Systems Health Management. Autonomous Vehicle Control. Autonomous Process Control. Robotics. Robotics for Solar System Exploration. Robotics for Lunar and Planetary Habitation. Robotics for In-Space Operations. Computing Systems. Conclusion
Autonomous stair climbing
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.Includes bibliographical references (p. 71-73).As the face of warfare changes, the military has started to explore the application of robotics on the battlefield. Robots give soldiers a flexible, technologically advanced, disposable set of eyes and ears to assist them with their goal. This thesis deals with the design and implementation of a system to allow a small highly mobile tactical robot to climb stairs autonomously. A subsumption architecture is used to coordinate and control the maneuver. Various approaches to the problem including evolved architectures and use of contraction analysis are explored. Code was written and tested for functionality with basic test software. The functionality of parts of the system and control architecture was tested on the robot in a simulated operational environment.by Kailas Narendran.M.Eng
Rapid Control Prototyping for Reconfigurable Assembly Workstations
Department of System Design and Control EngineeringDiverse customer demands and rapid technology change have led to a paradigm shift in the manufacturing industry, from mass production to mass customization, and eventually to personalization. In the past, manufacturers have faced a challenge to produce a large volume of a product at low cost. Today, they should however produce a very small volume of a highly personalized product at mass production cost. In order to meet these challenges, rapid configuration or reconfiguration of manufacturing systems are crucial. Therefore, many studies have discussed reconfigurable manufacturing systems, emphasizing on dynamic scheduling and flexible shop floor logistics. However, little attention has given to the hardware control and the corresponding software development, although they are very important and time-consuming tasks for manufacturing system reconfiguration.
Therefore, the main objective of this paper is to quickly design, test, and verify the control software both in a virtual and in a real environment. To do this, we propose a procedure of rapid control prototyping consisting of virtual factory construction, control software development and a final calibration procedure. Rapid control prototyping facilitates engineers to quickly develop control software including communication inputs and outputs, prior to constructing a real shop floor. The proposed simultaneous procedure of manufacturing system design and its control software development will significantly reduce the reconfiguration time of a manufacturing system.clos
A practical multirobot localization system
We present a fast and precise vision-based software intended for multiple robot localization. The core component of the software is a novel and efficient algorithm for black and white pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost cameras, the core algorithm is able to process hundreds of images per second while tracking hundreds of objects with a millimeter precision. In addition, we present the method's mathematical model, which allows to estimate the expected localization precision, area of coverage, and processing speed from the camera's intrinsic parameters and hardware's processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions is verified in several experiments. Apart from the method description, we also make its source code public at \emph{http://purl.org/robotics/whycon}; so, it can be used as an enabling technology for various mobile robotic problems
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