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From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.RO2026

TEA-AgriVLN: Traversability Estimation Alarm for Agricultural Vision-and-Language Navigation

Xiaobei Zhao, Xingqi Lyu, Xin Chen +1

The paper introduces TEA-AgriVLN, a system that adds a traversability‑estimation module to an agricultural vision‑and‑language navigation model, helping the robot avoid actions tha…

cs.RO2026

IMAC-AgriVLN: Can Agricultural Vision-and-Language Navigation Agents be Aware of Instruction Mistakes?

Xiaobei Zhao, Xingqi Lyu, Xin Chen +1

Agricultural robots are serving as powerful assistants across a wide range of agricultural tasks, nevertheless, still heavily relying on manual operations or railway systems for mo…

cs.RO2026

T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation

Xiaobei Zhao, Xingqi Lyu, Xin Chen +1

Agricultural robotic agents have been becoming useful helpers in a wide range of agricultural tasks. However, they still heavily rely on manual operations or fixed railways for mov…

cs.RO2026

MDE-AgriVLN: Agricultural Vision-and-Language Navigation with Monocular Depth Estimation

Xiaobei Zhao, Xingqi Lyu, Xin Chen +1

Agricultural robots are serving as powerful assistants across a wide range of agricultural tasks, nevertheless, still heavily relying on manual operations or railway systems for mo…

cs.RO2025

SUM-AgriVLN: Spatial Understanding Memory for Agricultural Vision-and-Language Navigation

Xiaobei Zhao, Xingqi Lyu, Xiang Li +1

Agricultural robots are emerging as powerful assistants across a wide range of agricultural tasks, nevertheless, they are still heavily relying on manual operations or fixed railwa…

cs.RO2025

AgriVLN: Vision-and-Language Navigation for Agricultural Robots

Xiaobei Zhao, Xingqi Lyu, Xiang Li

Agricultural robots have emerged as powerful members in agricultural tasks, nevertheless, still heavily rely on manual operation or untransportable railway for movement, resulting…