activity
20232026
most citedMulti-Robot Decentralized Collaborative SLAM in Planetary Analogue Environments: Dataset, Challenges, and Lessons Learned

7 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Finding Change in Satellite Archives from Text: How to Combine Before-and-After Images Efficiently

Simon Roy, Mark Bong, Giovanni Beltrame

Operational Earth observation increasingly calls for answering queries such as ``find the image pairs where a new building appeared.'' This means searching an archive of before-and…

cs.RO2026

To Select or not to Select, that is the Question: Distilling Robot Skill Prediction into a Small Ensemble

Haechan Mark Bong, Simon Roy, Euhid Aman +1

As robot fleets become more heterogeneous, including humanoids, rovers, quadrupeds, and drones, selecting the right robot for a task becomes a core systems problem. We study robot…

cs.RO2026

Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields

Haechan Mark Bong, Giovanni Beltrame

Safe autonomous Uncrewed Aerial Vehicle (UAV) navigation in urban environments requires real-time path planning that avoids obstacles. MaxConvNet is a potential-field planner that…

cs.RO2026★ 7 cited

Multi-Robot Decentralized Collaborative SLAM in Planetary Analogue Environments: Dataset, Challenges, and Lessons Learned

Pierre-Yves Lajoie, Karthik Soma, Haechan Mark Bong +4

Decentralized collaborative simultaneous localization and mapping (C-SLAM) is essential to enable multirobot missions in unknown environments without relying on preexisting localiz…

cs.RO2024

BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation

Haechan Mark Bong, Ricardo de Azambuja, Giovanni Beltrame

Real-time aerial image segmentation plays an important role in the environmental perception of Uncrewed Aerial Vehicles (UAVs). We introduce BlabberSeg, an optimized Vision-Languag…

cs.RO2024

Active Semantic Mapping and Pose Graph Spectral Analysis for Robot Exploration

Rongge Zhang, Haechan Mark Bong, Giovanni Beltrame

Exploration in unknown and unstructured environments is a pivotal requirement for robotic applications. A robot's exploration behavior can be inherently affected by the performance…

cs.RO2023

PEACE: Prompt Engineering Automation for CLIPSeg Enhancement for Safe-Landing Zone Segmentation

Haechan Mark Bong, Rongge Zhang, Antoine Robillard +1

Safe landing is essential in robotics applications, from industrial settings to space exploration. As artificial intelligence advances, we have developed PEACE (Prompt Engineering…

cs.RO2023

Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)

Haechan Mark Bong, Rongge Zhang, Ricardo de Azambuja +1

This work targets what we consider to be the foundational step for urban airborne robots, a safe landing. Our attention is directed toward what we deem the most crucial aspect of t…