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Jonathan P. How

5 papers hereh-index 13 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV1
same name
  • Jonathan P. How — 13 papers, h 7
  • Jonathan P. How — 10 papers, h 5
  • Jonathan P. How — 4 papers, h 5
  • Jonathan P. How — 3 papers, h 1
  • Jonathan P. How — 2 papers, h 1
  • Jonathan P. How — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

CILC: Cryptographically-secure Inter-agent Loop Closure Candidate Detection for Multi-Agent Collaborative SLAM

Andrew Fishberg, Yixuan Jia, Jonathan P. How

Multi-agent Simultaneous Localization and Mapping (SLAM) and collaborative SLAM (CSLAM) require robots to continuously exchange global descriptors (GDs) to detect inter-agent loop…

cs.RO2026

CU-Multi: A Dataset for Multi-Robot Collaborative Perception

Doncey Albin, Daniel McGann, Miles Mena +6

A central challenge for multi-robot systems is fusing independently gathered perception data into a unified representation. Despite progress in Collaborative SLAM (C-SLAM), benchma…

cs.RO2026

Meridian: Metric-Semantic Primitive Matching for Cross-View Geo-Localization Beyond Urban Environments

Mason Peterson, Qingyuan Li, Yixuan Jia +4

Successful robot automation requires accurate global localization to support repeatability, task planning, goal specification, and safe operation. However, reliable localization in…

cs.RO2026

Robust Dynamic Object Detection in Cluttered Indoor Scenes via Learned Spatiotemporal Cues

Juan Rached, Yixuan Jia, Kota Kondo +1

Reliable dynamic object detection in cluttered environments remains a critical challenge for autonomous navigation. Purely geometric LiDAR pipelines that rely on clustering and heu…

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