RSS 2020 : Robotics: Science and Systems

in Conferences   Posted on October 27, 2019 

Conference Information

Submission Deadline Thursday 30 Jan 2020 Proceedings indexed by :
Conference Dates Jul 12, 2020 - Jul 17, 2020
Conference Address Oregon State University at Corvallis, United States
Conference & Submission Link https://roboticsconference.org
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 5.45
#Contributing Top Scientists 35
#Papers published by Top Scientists 38
Google Scholar H5-index 51
Number of Editions: 16 (Since 2005)
Guide2Research Overall Ranking: 91
Category Rankings
Hardware, Robotics & Electronics 15
Software Engineering & Programming 20
Proceedings http://www.roboticsproceedings.org/
DBLP Page https://dblp.uni-trier.de/db/conf/rss

Conference Call for Papers

The Robotics: Science and Systems has a long history of bringing together researchers in all areas of robotics from around the world for an engaging and focused week of single-track presentations, workshops, poster sessions, tutorials, and fun! This year, once again, we solicit your best work.

RSS is actively seeking papers in areas that have not been traditionally represented at the conference and will stay true to its name covering both the “Science” and the “Systems” of robotics. Papers containing original and unpublished work are solicited in all areas of robotics, including (but not limited to) the following themes:

Robot AI and Learning (SPECIAL INTEREST TOPIC)
Soft and Bio-Inspired Robotics (SPECIAL INTEREST TOPIC)

Applications
Cognitive Robotics
Field Robotics
Human-Centered Robotics and Automation
Humanoids and Animaloids
Localization and Mapping
Manipulation and Grasping
Manufacturing, Process, and Service Automation
Mechanisms, Design, and Control
Medical and Rehabilitation
Micro, Nano, and Biomimetic Systems
Multiple and Distributed Systems
Planning and Simulation
Theoretical Foundations
Vision and Sensor-Based Control
Visual Perception and Learning

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