1 citations · 1 across the 13 of their papers we have counts for
16 papers
TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation
Zhongyuan Liao, Junzhe Wang, Qingyang Liu +6
Robotic in-hand manipulation requires reliable object-motion tracking under frequent visual occlusion, yet low-texture visuotactile images provide few stable correspondences for co…
UniGS: Unified Geometry-Aware Gaussian Splatting for Multimodal Rendering
Yusen Xie, Zhenmin Huang, Jianhao Jiao +2
In this paper, we propose UniGS, a unified map representation and differentiable framework for high-fidelity multimodal 3D reconstruction based on 3D Gaussian Splatting. Our framew…
Fast and Scalable Game-Theoretic Trajectory Planning with Intentional Uncertainties
Zhenmin Huang, Yusen Xie, Benshan Ma +2
Trajectory planning involving multi-agent interactions has been a long-standing challenge in the field of robotics, primarily burdened by the inherent yet intricate interactions am…
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems
Zhenmin Huang, Ce Hao, Wei Zhan +2
Autonomous racing has gained significant attention as a platform for high-speed decision-making and motion control. While existing methods primarily focus on trajectory planning an…
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
Haichao Liu, Ruoyu Yao, Wenru Liu +3
The increasing demand for flexible and efficient urban transportation solutions has spotlighted the limitations of traditional Demand Responsive Transport (DRT) systems, particular…
UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants
Haichao Liu, Kai Chen, Yulin Li +3
Current autonomous driving systems often struggle to balance decision-making and motion control while ensuring safety and traffic rule compliance, especially in complex urban envir…
Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles
Wenru Liu, Haichao Liu, Lei Zheng +2
This paper introduces a local planner that synergizes the decision making and trajectory planning modules towards autonomous driving. The decision making and trajectory planning ta…
GS-LIVM: Real-Time Photo-Realistic LiDAR-Inertial-Visual Mapping with Gaussian Splatting
Yusen Xie, Zhenmin Huang, Jin Wu +1
In this paper, we introduce GS-LIVM, a real-time photo-realistic LiDAR-Inertial-Visual mapping framework with Gaussian Splatting tailored for outdoor scenes. Compared to existing m…
A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game
Chengzhen Meng, Zhenmin Huang, Jun Ma
Due to the intricate of real-world road topologies and the inherent complexity of autonomous vehicles, cooperative decision-making for multiple connected autonomous vehicles (CAVs)…
Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach
Zhenmin Huang, Tong Li, Shaojie Shen +1
Modeling the interaction between traffic agents is a key issue in designing safe and non-conservative maneuvers in autonomous driving. This problem can be challenging when multi-mo…
LMMCoDrive: Cooperative Driving with Large Multimodal Model
Haichao Liu, Ruoyu Yao, Zhenmin Huang +2
To address the intricate challenges of decentralized cooperative scheduling and motion planning in Autonomous Mobility-on-Demand (AMoD) systems, this paper introduces LMMCoDrive, a…
Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication
Haichao Liu, Zhenmin Huang, Zicheng Zhu +3
This paper investigates a cooperative motion planning problem for large-scale connected autonomous vehicles (CAVs) under limited communications, which addresses the challenges of h…
A Universal Cooperative Decision-Making Framework for Connected Autonomous Vehicles with Generic Road Topologies
Zhenmin Huang, Shaojie Shen, Jun Ma
Cooperative decision-making of Connected Autonomous Vehicles (CAVs) presents a longstanding challenge due to its inherent nonlinearity, non-convexity, and discrete characteristics,…
Integrated Behavior Planning and Motion Control for Autonomous Vehicles with Traffic Rules Compliance
Haichao Liu, Kai Chen, Yulin Li +3
In this article, we propose an optimization-based integrated behavior planning and motion control scheme, which is an interpretable and adaptable urban autonomous driving solution…
Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles
Zhenmin Huang, Haichao Liu, Shaojie Shen +1
The development of connected autonomous vehicles (CAVs) facilitates the enhancement of traffic efficiency in complicated scenarios. In unsignalized roundabout scenarios, difficulti…
Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Zhenmin Huang, Shaojie Shen, Jun Ma
Developments in cooperative trajectory planning of connected autonomous vehicles (CAVs) have gathered considerable momentum and research attention. Generally, such problems present…