1 citations · 1 across the 5 of their papers we have counts for
5 papers
AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning
Zichen Yan, Yuchen Hou, Shenao Wang +3
Object-Goal Navigation (ObjectNav) requires an agent to autonomously explore an unknown environment and navigate toward target objects specified by a semantic label. While prior wo…
DiffCoord: Differentiable Coordination for Distributed Multi-Agent Trajectory Optimization
Bingheng Wang, Yichao Gao, Tianchen Sun +2
Integrating the Alternating Direction Method of Multipliers (ADMM) with Differential Dynamic Programming (DDP) provides a scalable framework for distributed multi-agent trajectory…
Learning Agile Gate Traversal via Analytical Optimal Policy Gradient
Tianchen Sun, Bingheng Wang, Nuthasith Gerdpratoom +3
Traversing narrow gates presents a significant challenge and has become a standard benchmark for evaluating agile and precise quadrotor flight. Traditional modularized autonomous f…
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow
Liguo Zhou, Yinglei Song, Yichao Gao +10
Conducting real road testing for autonomous driving algorithms can be expensive and sometimes impractical, particularly for small startups and research institutes. Thus, simulation…
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization
Hanqi Jiang, Cheng Zeng, Runnan Chen +4
Recently, methods for neural surface representation and rendering, for example NeuS, have shown that learning neural implicit surfaces through volume rendering is becoming increasi…