6 papers · 1 filter
UGV-Conditioned Multi-UAV Informative Planning on a Shared Exposure Belief
Lars Oerlemans, Moji Shi, Marija Popovic
Safe ground navigation in large, threat-augmented environments requires aerial support that actively reduces the risks that a ground vehicle faces along its route. Existing aerial…
Perception-Aware Autonomous Exploration in Feature-Limited Environments
Moji Shi, Rajitha de Silva, Hang Yu +3
Autonomous exploration in unknown environments typically relies on onboard state estimation for localisation and mapping. Existing exploration methods primarily maximise coverage e…
EAAE: Energy-Aware Autonomous Exploration for UAVs in Unknown 3D Environments
Jacob Elskamp, Moji Shi, Leonard Bauersfeld +2
Battery-powered multirotor unmanned aerial vehicles (UAVs) can rapidly map unknown environments, but mission performance is often limited by energy rather than geometry alone. Stan…
Learning Humanoid Locomotion with Perceptive Internal Model
Junfeng Long, Junli Ren, Moji Shi +4
In contrast to quadruped robots that can navigate diverse terrains using a "blind" policy, humanoid robots require accurate perception for stable locomotion due to their high degre…
Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps
Siyuan Wu, Gang Chen, Moji Shi +1
This paper proposes a decentralized trajectory planning framework for the collision avoidance problem of multiple micro aerial vehicles (MAVs) in environments with static and dynam…
Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking
Moji Shi, Gang Chen, Ãlvaro Serra Gómez +2
Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic ob…