3 citations · 3 across the 8 of their papers we have counts for
8 papers
AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning
Wenhao Tang, Tianyang Chen, Zhejun Cui +9
Autonomous pursuit-evasion is a fundamental challenge for Unmanned Aerial Vehicles (UAVs), requiring rapid decision-making under tightly coupled dynamics and continuously changing…
Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPO
Tianyang Chen, Wenjun Li, Xin zhou +2
Vision-Language-Action (VLA) models offer a promising end-to-end paradigm for unmanned aerial vehicles (UAVs) to accomplish complex tasks specified by fine-grained instructions. Ho…
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines
Ziyao Wang, Bingying Wang, Hanrong Zhang +7
Despite remarkable progress in Vision--Language--Action (VLA) models, a central bottleneck remains underexamined: the data infrastructure that underlies embodied learning. In this…
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies
Tianyue Wu, Guangtong Xu, Zihan Wang +6
Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding…
Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios
Jiawen Wang, Jingjing Wang Tianyang Chen, Min Zhang +1
In the literature, existing human-centric emotional motion generation methods primarily focus on boosting performance within a single scale-fixed dataset, largely neglecting the fl…
GroundSight: Augmenting Vision-Language Models with Grounding Information and De-hallucination
Xinxi Chen, Tianyang Chen, Lijia Hong
We propose a method to improve Visual Question Answering (VQA) with Retrieval-Augmented Generation (RAG) by introducing text-grounded object localization. Rather than retrieving in…
Whole-Body Control Through Narrow Gaps From Pixels To Action
Tianyue Wu, Yeke Chen, Tianyang Chen +2
Flying through body-size narrow gaps in the environment is one of the most challenging moments for an underactuated multirotor. We explore a purely data-driven method to master thi…
Large Language Model based Situational Dialogues for Second Language Learning
Shuyao Xu, Long Qin, Tianyang Chen +3
In second language learning, scenario-based conversation practice is important for language learners to achieve fluency in speaking, but students often lack sufficient opportunitie…