6 papers · 1 filter
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…
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…
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…
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…
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…
LiDAR-based Real-Time Object Detection and Tracking in Dynamic Environments
Wenqiang Du, Giovanni Beltrame
In dynamic environments, the ability to detect and track moving objects in real-time is crucial for autonomous robots to navigate safely and effectively. Traditional methods for dy…