9,200 resources related to Orbital Robotics
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)
No periodicals are currently tagged "Orbital Robotics"
Proceedings of the 1980 1st International Symposium on Unmanned Untethered Submersible Technology, 1980
Proceedings. 1986 IEEE International Conference on Robotics and Automation, 1986
International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 1988
Proceedings. 1987 IEEE International Conference on Robotics and Automation, 1987
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989
Surgical Robotics: Endoluminal Surgical Robotics
Surgical Robotics: Medical robotics and computer-integrated interventional medicine
Robotics History: Narratives and Networks Oral Histories: Toshio Fukuda
Formal Methods in Robotics
Lunar Industrialization: The First Step to the Solar System
JUSTIN M. SHAW - IEEE Magnetics Distinguished Lecture
ICRA Keynote: Dr. Matt Mason
Robotics History: Narratives and Networks Oral Histories: Paolo Dario
Surgical Robotics: Transition to Automation
Lesson Learned in field Robotics from Disasters
Human-Robot Interaction Socially Assistive Robotics
What We Learned from Darpa Robotics Challenge
Robotics History: Narratives and Networks Oral Histories: Bruno Siciliano
From Robotics to VR and Back
Machine Learning of Motor Skills for Robotics
Robotics History: Narratives and Networks Oral Histories: Oussama Khatib
Robotics History: Narratives and Networks Oral Histories: Bob Bolles
Beyond Soft Robotics: Pioneer Perspectives and Interdisciplinary Collaboration - ICRA 2020
Soft Robotics & Biologically Inspired Robotics at Carnegie Mellon University
The authors propose an efficient computation scheme for the kinematics and inverse dynamics of a space manipulator. The simulation of the manipulator by using the equation of motion directly requires intensive calculation. The scheme proposed in the paper uses the kinematic conditions of the adjoined links and their derivatives with respect to time. The linear and angular velocities and accelerations of the links are separated into two parts, one dependent on the motion of the satellite and the other the remainder whose values are determined by a recursive algorithm. The conservation laws of the total linear and angular momentums and the conditions for the total force and torque balance are used to determine the satellite body's linear and angular velocities and accelerations. These, in turn, make it possible to solve the kinematics and inverse dynamics of a satellite-based manipulator. The amount of calculations for the kinematics and inverse dynamics is proportional to the number of manipulator links.<>
To efficiently explore an unknown environment with a team of robots, a coordinated strategy that maximises the exploration area is required. This is a difficult optimisation problem, as there may exist many suboptimal solutions. In order to reduce the search space to a region that is near the optimal, a behaviour-based exploration strategy is used to define the region in which an optimal solution can be found. A numerical optimisation technique is then used to find the solution in this region. In particular, the proposed strategy uses a potential-fields technique to obtain a coarse movement direction for each robot. A nonlinear optimisation method is then used to calculate the velocity and angle deviation from the coarse direction to achieve the maximum exploration for each move. Simulation results have shown that the proposed method provides an efficient exploration strategy.
Nonholonomic systems are typically controllable in a configuration space of higher dimension than the input space. Here, it is shown how nonholonomic constraints can be exploited to design a controllable n-joint manipulator with only two inputs. Gears subject to nonholonomic constraints are designed to transmit velocities from the inputs to the unactuated joints. The designed nonholonomic manipulator is shown to be completely controllable in the whole configuration space. The system is designed with a triangular structure for which a conversion into chained form is presented. The nonholonomic manipulator can, therefore, be controlled using existing controllers for chained form.<>
Describes a currently developed software architecture for telerobotics, based on a high-level and interpreted language, PILOT (Programming and Interpreted Language Of actions for Telerobotics), allowing one to plan the actions of a robot. Such a language allows the operator to modify a mission during its execution. A software architecture is developed for this language, and is composed of four modules which manage different aspects of plan execution.<>
A novel model of organized neural network is shown to be very effective for path planning and obstacle avoidance in an unknown map which is represented by topologically ordered neurons. With the limited information of neighbor position and distance of the target position, the robot autonomously provides a proper path with free-collision and no redundant exploring in the process of exploring. Finally, the computer simulation illustrates the performance
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