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The International Journal of Robotics Research is a peer-reviewed journal published by SAGE, covering Robot Manipulation and Learning, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization. Over its lifetime it has published 3,236 papers, which have received 316,510 citations.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', The International Journal of Robotics Research, 12(3), pp. 45–58.
Formats any DOI in The International Journal of Robotics Research style. No sign-up. |
| Publishes research in | Robot Manipulation and Learning Robotic Path Planning Algorithms Robotics and Sensor-Based Localization Robotic Mechanisms and Dynamics Soft Robotics and Applications |
| ISSN | 0278-3649 |
| Citation impact (2-yr) | 7.71 |
| h-index | 261 |
| i10-index | 2,422 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | www.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research. In total, we recorded 6 hours of traffic scenarios at 10–100 Hz using a variety of sensor modalities such as high-resolution color and grayscale stereo cameras, a Velodyne 3D laser scanner and a high-precision GPS/IMU…
This paper presents a unique real-time obstacle avoidance approach for manipulators and mobile robots based on the artificial potential field concept. Collision avoidance, tradi tionally considered a high level planning problem, can be effectively distributed between different levels of control, al lowing real-time robot operations in a complex environment. This method has been extended to…
There exists a class of two-legged machines for which walking is a natural dynamic mode. Once started on a shallow slope, a machine of this class will settle into a steady gait quite comparable to human walking, without active control or en ergy input. Interpretation and analysis of the physics are straightforward; the walking cycle,…
This paper presents the first randomized approach to kinodynamic planning (also known as trajectory planning or trajectory design). The task is to determine control inputs to drive a robot from an ini ial configuration and velocity to a goal configuration and velocity while obeying physically based dynamical models and avoiding obstacles in the robot’s environment.…
Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic problems provide both inspiration, impact, and validation for developments in reinforcement learning. The relationship between disciplines has sufficient promise to be likened to that between physics and mathematics. In this article,…
