Haechan Mark Bong — accepted AI-conference papers

2026

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

Pierre-Yves Lajoie, Karthik Soma, Haechan Mark Bong, Alice Lemieux-Bourque, Rongge Zhang, Vivek shankar Varadharajan +1

ICRA 2026poster

Decentralized collaborative simultaneous localization and mapping (C-SLAM) is essential to enable multirobot missions in unknown environments without relying on preexisting localization and communication infrastructure. This technology is anticipated to play a key role in the exploration of the Moon…

Cited by 0 Scholar ↗

2025

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

Haechan Mark Bong, Rongge Zhang, Antoine Robillard, Giovanni Beltrame

IROS 2025

Safe landing is essential in robotics applications, from industrial settings to space exploration. As artificial intelligence advances, we have developed PEACE (Prompt Engineering Automation for CLIPSeg Enhancement), a system that automatically generates and refines prompts for identifying landing z

Cited by 1 Source ↗Scholar ↗

2024

Active Semantic Mapping and Pose Graph Spectral Analysis for Robot Exploration

Rongge Zhang, Haechan Mark Bong, Giovanni Beltrame

IROS 2024

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 of its Simultaneous Localization and Mapping (SLAM) subsystem, although SLAM and exploration are generally studied sepa

Cited by 5 Source ↗code ↗Scholar ↗