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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 6 Similar Profiles
Motion planning Engineering & Materials Science
Robots Engineering & Materials Science
Sensors Engineering & Materials Science
Robotics Engineering & Materials Science
Monitoring Engineering & Materials Science
Planning Engineering & Materials Science
Convergence Time Mathematics
Path Planning Mathematics

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Projects 2017 2020

Research Output 2008 2018

  • 378 Citations
  • 12 h-Index
  • 20 Conference contribution
  • 8 Article
  • 3 Conference article
  • 1 Paper
1 Citations

Complexity Results and Fast Methods for Optimal Tabletop Rearrangement with Overhand Grasps

Han, S. D., Stiffler, N. M., Krontiris, A., Bekris, K. & Yu, J., Dec 1 2018, In : International Journal of Robotics Research. 37, 13-14, p. 1775-1795 21 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Tabletop
Rearrangement
End effectors
Pipelines
Minimise

Expected constant-factor optimal multi-robot path planning in well-connected environments

Yu, J., Jan 8 2018, 2017 International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 48-55 8 p.

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-robot
Path Planning
Motion planning
Robot
Robots
2 Citations

A portable, 3D-printing enabled multi-vehicle platform for robotics research and education

Yu, J., Han, S. D., Tang, W. N. & Rus, D., Jul 21 2017, ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., p. 1475-1480 6 p. 7989176

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Motion planning
Printing
Robotics
Education
Robots

High-quality tabletop rearrangement with overhand grasps: Hardness results and fast methods

Han, S. D., Stiffler, N. M., Krontiris, A., Bekris, K. & Yu, J., Jan 1 2017, Robotics: Science and Systems XIII, RSS 2017. Srinivasa, S., Ayanian, N., Amato, N. & Kuindersma, S. (eds.). MIT Press Journals, Vol. 13.

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hardness
Pipelines
End effectors
Scalability
Robots
7 Citations

Correlated Orienteering Problem and its Application to Persistent Monitoring Tasks

Yu, J., Schwager, M. & Rus, D., Oct 1 2016, In : IEEE Transactions on Robotics. 32, 5, p. 1106-1118 13 p.

Rutgers, The State University

Research output: Contribution to journalArticle

Monitoring
Planning
Quadratic programming
Mobile robots
Temperature distribution