In this paper, we propose a method that could solve the problem of estimating the minimum number of robots to finish the given multi-objects task. The criterion of estimating the robots includes the time consumption o...
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The 19th roboticsprogram at the annual AAAI conference was held in Atlanta, Georgia, in July 2010. In this article we give a summary of three components of the exhibition: the Small-Scale Manipulation Challenge: Robo...
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This paper gives insight into the system design and hardware architecture of Nancy, which is a social robot in humanoid form that is currently being developed in Social robotics Lab (SRL), Interactive and Digital Medi...
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作者:
John MaedaSteven HellerTim HooverHas been a design partner at Kleiner Perkins Caufield & Byers since January 2014
helping entrepreneurs and portfolio companies to build design into their company cultures. He served as the president of Rhode Island School of Design for six years through 2013 and also served as an associate director of research at the MIT Media Lab. Maeda has been a practicing designer since 1990 and his work is in the permanent collections of the Museum of Modern Art San Francisco Museum of Modern Art and the Cartier Foundation. He serves on the boards of several corporations including Sonos and Wieden + Kennedy and is chair of eBay's Design Advisory Board. His four published books include The Laws of Simplicity and Redesigning Leadership. Maeda is the recipient of a variety of international awards for his creative work including induction into the Art Director's Club Hall of Fame. In 2001 he received the White House National Design Award in 2002
he received the Mainichi Design Prize in Japan and in 2005
he was awarded the Raymond Loewy Foundation Prize in Germany. Maeda earned a BS and an MS from MIT in computer science and electrical engineering. He received a PhD in design science from the University of Tsukuba Institute of Art and Design in Japan as well as an MBA from Arizona State University. Co‐chair and co‐founder of the MFA Designer as Author and Entrepreneur program at the School of Visual Arts
in New York. He was the art director of The New York Times Book Review and now writes the VISUALS column for the NYTBR. He also writes “The Daily Heller” at *** a weekly online design column for Atlantic magazine. He is author co‐author and editor of more than 165 books on the history and practice of graphic design illustration and satiric art. His forthcoming books include 100 Classic Graphic Design Magazines (Laurence King Publishers) and Raw Data: The Process Behind Information Graphics (Thames + Hudson). Heller was the 2011 recipient of the Smithsonian National Design Award for Design Mind. He has also writ
John Maeda is a past president of Rhode Island school of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steve...
John Maeda is a past president of Rhode Island school of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steven Heller pairs up with Tim Hoover, head of product and design at Canary, to talk about designer CEOs, start‐ups, and cutting out the middleman.
Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled a...
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This paper presents a novel interval type-2 fuzzy logic control architecture for flocking system when the system has noisy sensor measurements. The traditional type-1 fuzzy logic controller (FLC) using precise type-1 ...
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This paper presents a novel interval type-2 fuzzy logic control architecture for flocking system when the system has noisy sensor measurements. The traditional type-1 fuzzy logic controller (FLC) using precise type-1 fuzzy sets cannot fully model and handle the uncertainties of sensor data. However, type-2 FLC using type-2 fuzzy sets with a footprint of uncertainty (FOU) produces better performances under noisy environments. In this paper, therefore, we present a reactive control architecture for flocking algorithm that is based on interval type 2 FLC to implement the flocking behaviors consisting separation, obstacle avoidance, and velocity matching behaviors. The type-2 based control system could cope with the uncertainties of noisy sensor measurements and resulted in good performances that outperformed the type-1 FLC.
This paper presents the mechanical design of a social robot, Nancy, developed by Social robotics Laboratory, Interactive and Digital Media Institute, National University of Singapore. The objective of our project is t...
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作者:
Miah, SuruzGueaieb, WailMachine Intelligence
Robotics Mechatronics (MIRaM) Laboratory at the School of Electrical Engineering and Computer Science (EECS) University of Ottawa ON Canada
Most mobile robot localization techniques that depend on reference Radio Frequency (RF) stations are based on approximating the line-of-sight (LOS) distance between these stations and the robot by processing the stren...
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Most mobile robot localization techniques that depend on reference Radio Frequency (RF) stations are based on approximating the line-of-sight (LOS) distance between these stations and the robot by processing the strength of the RF signal propagating between the beacons and the robot. To date, mapping the strength of this signal to its corresponding distance remains a very challenging task to undertake, especially in reverberant environments. The manuscript outlines a novel nonholonomic mobile robot navigation system using a bearing-sensitive Radio Frequency IDentification (RFID) reader which is specifically designed to operate in indoor reverberant environments. This design does not depend on an accurate mathematical model to map the RF's Received Signal Strength (RSS) to an LOS distance. The proposed navigation system is evaluated through a series of computer simulations where a commercial electromagnetic simulation software (FEKO) is adopted to realistically assess the reverberations effect on the developed architecture. It has been shown that the robot successfully converges to its destinations under various magnitudes of reverberations.
The ability to grasp objects of different size and shape is one of the most important skills of a humanoid robot. There are a lot of different approaches tackling this problem;however, there is no general solution. Th...
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The ability to grasp objects of different size and shape is one of the most important skills of a humanoid robot. There are a lot of different approaches tackling this problem;however, there is no general solution. The complexity and the skill of a possible grasping motion depend hardly on a particular robot. In this paper we analyze the kinematic and sensory grasping abilities of the humanoid robot Nao. Its kinematic constraints and hand's mechanical structure represent an interesting case of study due to lack of actuators for fingers and the limited computation power. After describing the platform and studying its capabilities, we propose some simple controllers and we present a benchmark based on some experimental data.
Mapping from visual information to motor commands is an important issue in the study of voluntary arm movement. The joint kinematics of a human-like planar arm, which is generally described as a nonlinear function in ...
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Mapping from visual information to motor commands is an important issue in the study of voluntary arm movement. The joint kinematics of a human-like planar arm, which is generally described as a nonlinear function in a Cartesian coordinate system, can be approximately linearized in a head-centered polar coordinate system. This study shows that the mapping from the muscle lengths to the hand position in a head-centered polar coordinate system can also be approximately linearized. In addition, this study proposes a diagonalization of the kinematics that involves adjusting the moment arms of the muscles; in this diagonalization, the muscle lengths of two bi-articular muscles are proportional to the distance and direction from the head.
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