4,370 research outputs found
Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent autonomous systems in human environments,
the ability of such systems to perceive, understand and anticipate human
behavior becomes increasingly important. Specifically, predicting future
positions of dynamic agents and planning considering such predictions are key
tasks for self-driving vehicles, service robots and advanced surveillance
systems. This paper provides a survey of human motion trajectory prediction. We
review, analyze and structure a large selection of work from different
communities and propose a taxonomy that categorizes existing methods based on
the motion modeling approach and level of contextual information used. We
provide an overview of the existing datasets and performance metrics. We
discuss limitations of the state of the art and outline directions for further
research.Comment: Submitted to the International Journal of Robotics Research (IJRR),
37 page
IMPLEMENTATION OF A LOCALIZATION-ORIENTED HRI FOR WALKING ROBOTS IN THE ROBOCUP ENVIRONMENT
This paper presents the design and implementation of a humanârobot interface capable of evaluating robot localization performance and maintaining full control of robot behaviors in the RoboCup domain. The system consists of legged robots, behavior modules, an overhead visual tracking system, and a graphic user interface. A humanârobot communication framework is designed for executing cooperative and competitive processing tasks between users and robots by using object oriented and modularized software architecture, operability, and functionality. Some experimental results are presented to show the performance of the proposed system based on simulated and real-time information. </jats:p
Special issue on smart interactions in cyber-physical systems: Humans, agents, robots, machines, and sensors
In recent years, there has been increasing interaction between humans and nonâhuman systems as we move further beyond the industrial age, the information age, and as we move into the fourthâgeneration society. The ability to distinguish between human and nonâhuman capabilities has become more difficult to discern. Given this, it is common that cyberâphysical systems (CPSs) are rapidly integrated with human functionality, and humans have become increasingly dependent on CPSs to perform their daily routines.The constant indicators of a future where human and nonâhuman CPSs relationships consistently interact and where they allow each other to navigate through a set of nonâtrivial goals is an interesting and rich area of research, discovery, and practical work area. The evidence of con- vergence has rapidly gained clarity, demonstrating that we can use complex combinations of sensors, artificial intelli- gence, and data to augment human life and knowledge. To expand the knowledge in this area, we should explain how to model, design, validate, implement, and experiment with these complex systems of interaction, communication, and networking, which will be developed and explored in this special issue. This special issue will include ideas of the future that are relevant for understanding, discerning, and developing the relationship between humans and nonâ human CPSs as well as the practical nature of systems that facilitate the integration between humans, agents, robots, machines, and sensors (HARMS).Fil: Kim, Donghan. Kyung Hee University;Fil: Rodriguez, Sebastian Alberto. Universidad TecnolĂłgica Nacional; Argentina. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - TucumĂĄn; ArgentinaFil: Matson, Eric T.. Purdue University; Estados UnidosFil: Kim, Gerard Jounghyun. Korea University
Real-time Perceptive Motion Control using Control Barrier Functions with Analytical Smoothing for Six-Wheeled-Telescopic-Legged Robot Tachyon 3
To achieve safe legged locomotion, it is important to generate motion in
real-time considering various constraints in robots and environments. In this
study, we propose a lightweight real-time perspective motion control system for
the newly developed six-wheeled-telescopic-legged robot, Tachyon 3. In the
proposed method, analytically smoothed constraints including Smooth Separating
Axis Theorem (Smooth SAT) as a novel higher order differentiable collision
detection for 3D shapes is applied to the Control Barrier Function (CBF). The
proposed system integrating the CBF achieves online motion generation in a
short control cycle of 1 ms that satisfies joint limitations, environmental
collision avoidance and safe convex foothold constraints. The efficiency of
Smooth SAT is shown from the collision detection time of 1 us or less and the
CBF constraint computation time for Tachyon3 of several us. Furthermore, the
effectiveness of the proposed system is verified through the stair-climbing
motion, integrating online recognition in a simulation and a real machine.Comment: 8 pages, 8 figures, This work has been submitted to the IEEE for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessibl
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