Real-Time Avoidance Algorithms is a computational method designed to enable dynamic obstacle detection and avoidance in time-critical environments by continuously processing sensor data and generating immediate navigational responses with bounded latency.
104
Publications
8.2K
Citations
341
Authors
129
Institutions
Publications per year
2017–2026
35
Parents
Publications
104
Real-time obstacle avoidance using harmonic potential functions
J.-O. Kim, P.K. Khosla · 2002 · 564 citations
1–5 of 104
Authors
341
- JB
5
h-index
- YK
5
h-index
- GV
2
h-index
- JK
2
h-index
- MHMartin Herman
National Institute of Standards and Technology, United States
2 publications · 136 citations
2
h-index
1–5 of 341
Institutions
129
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
7.9K citations
Seoul National University
Seoul, South Korea
4 h-index
8 publications
199 citations
Beihang University
Beijing, China
3 h-index
12 publications
330 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
2.2K citations
Tsinghua University
Beijing, China
2 h-index
4 publications
138 citations
Universidade do Porto
Porto, Portugal
2 h-index
7 publications
140 citations
Korea University
Seoul, South Korea
2 h-index
4 publications
197 citations
University of California, Berkeley
Berkeley, United States
2 h-index
6 publications
642 citations
1–8 of 129
Venues
- IEEE Transactions on Robotics and Automation
4 publications · 3.3K citations
4
h-index
- Robotica
2 publications · 42 citations
2
h-index
- IEEE/ASME Transactions on Mechatronics
2 publications · 114 citations
2
h-index
- IEEE Access
2 publications · 104 citations
2
h-index
- Sensors
2 publications · 53 citations
2
h-index
1–5