5 papers
Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models
Yuting Huang, Leilei Ding, Zhipeng Tang +7
While Vision-Language-Action (VLA) models hold promise in embodied intelligence, their large parameter counts lead to substantial inference latency that hinders real-time manipulat…
VLMPlanner: Integrating Visual Language Models with Motion Planning
Zhipeng Tang, Sha Zhang, Jiajun Deng +5
Integrating large language models (LLMs) into autonomous driving motion planning has recently emerged as a promising direction, offering enhanced interpretability, better controlla…
ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors
Xingchen Li, LiDian Wang, Yu Sheng +6
Protecting power transmission lines from potential hazards involves critical tasks, one of which is the accurate measurement of distances between power lines and potential threats,…
A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents
Yuting Huang, Leilei Ding, Zhipeng Tang +5
Large Language Models (LLMs) exhibit substantial promise in enhancing task-planning capabilities within embodied agents due to their advanced reasoning and comprehension. However,…
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang, Zhuoran Yang, Lidian Wang +7
The significant achievements of pre-trained models leveraging large volumes of data in the field of NLP and 2D vision inspire us to explore the potential of extensive data pre-trai…