activity
20232026
most citedSAHA: Supervised Autonomous HArvester for selective forest thinning

2 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing cs.ROShow all

12 papers · 1 filter

cs.RO2026

Return-to-Home Feasible Micro-Aerial Vehicle Exploration for 3D Gaussian Splatting Reconstruction

Prajit Krisshnakumar, Fan Yang, Koichiro Niinuma

Micro aerial vehicles (MAVs) enable rapid indoor 3D reconstruction for inspection and time-critical situational awareness, but must operate under strict flight-time budgets and saf…

cs.RO2026

LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation

Shaoan Wang, Aocheng Luo, Fei Huang +17

Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language…

cs.RO2026

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang +5

For robots to operate reliably in real-world environments, they need to perceive their surroundings, act, and reason about the consequences of those actions. Rapid progress in the…

cs.RO2026

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning

Fan Yang, Soumya Teotia, Shaunak A. Mehta +8

Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without subs…

cs.RO2026

DeFM: Learning Foundation Representations from Depth for Robotics

Manthan Patel, Jonas Frey, Mayank Mittal +5

Depth sensors are widely deployed across robotic platforms, and advances in fast, high-fidelity depth simulation have enabled robotic policies trained on depth observations to achi…

cs.RO2026★ 2 cited

SAHA: Supervised Autonomous HArvester for selective forest thinning

Fang Nan, Meher Malladi, Qingqing Li +7

Forestry plays a vital role in our society, creating significant ecological, economic, and recreational value. Efficient forest management involves labor-intensive and complex oper…

cs.RO2026

Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding

Chong Zhang, Victor Klemm, Fan Yang +1

Achieving agile and generalized legged locomotion across terrains requires tight integration of perception and control, especially under occlusions and sparse footholds. Existing m…

cs.RO2025

Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning

Fan Yang, Per Frivik, David Hoeller +3

Recent advancements in robot navigation, particularly with end-to-end learning approaches such as reinforcement learning (RL), have demonstrated strong performance. However, succes…

cs.RO2025

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Manthan Patel, Fan Yang, Yuheng Qiu +4

We present TartanGround, a large-scale, multi-modal dataset to advance the perception and autonomy of ground robots operating in diverse environments. This dataset, collected in va…

cs.RO2024★ 1 cited

IN-Sight: Interactive Navigation through Sight

Philipp Schoch, Fan Yang, Yuntao Ma +3

Current visual navigation systems often treat the environment as static, lacking the ability to adaptively interact with obstacles. This limitation leads to navigation failure when…

cs.RO2024

Motion Primitives Planning For Center-Articulated Vehicles

Jiangpeng Hu, Fan Yang, Fang Nan +1

Autonomous navigation across unstructured terrains, including forests and construction areas, faces unique challenges due to intricate obstacles and the element of the unknown. Lac…

cs.RO2023

ViPlanner: Visual Semantic Imperative Learning for Local Navigation

Pascal Roth, Julian Nubert, Fan Yang +2

Real-time path planning in outdoor environments still challenges modern robotic systems due to differences in terrain traversability, diverse obstacles, and the necessity for fast…