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Chun Ming Wu

dblp:390/3434 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0004-0545-835XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 67% Legged, aerial and field robots · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.912025
Demo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions · MobiCom 2025
Robotics › Motion planning and robot control
path planning
0.912025
Demo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions · MobiCom 2025
Robotics › Motion planning and robot control › path planning
real-time path planning
0.912025
Demo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions · MobiCom 2025
Smart cities and intelligent transportation › disaster management
disaster response
0.312025
Demo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions · MobiCom 2025

Methods — techniques the papers use, named apart from their topics

lora communication · 1.7
YearPublicationVenuePosition
2025 Demo: AeroRelief: UAV-based Emergency Rescue for Time-Critical Missions
abstract
We present AeroRelief, an autonomous UAV first-responder system for rapid delivery of critical medical supplies in hard-to-reach areas. Integrating AI-assisted dispatch, real-time path planning, and a winch-based payload mechanism, AeroRelief responds swiftly to emergencies with minimal human intervention. The system uses a long-range LoRa command link for robust communication and delivers supplies mid-air without landing. Our demonstration showcases the complete workflow—from emergency identification to UAV deployment—highlighting AeroRelief's potential to accelerate rescue missions and enhance survival outcomes in remote settings.
Chun Ming Wu, Songfan Li, Zhaoteng Ye, Tsz Ho Fan, Lai Yin Garmisch Wong, Mo Li 0001
MobiCom1