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Zhiwen Zeng

7 accepted papers

2026

C-LaV: Conditional Latent Velocity Field Denoising for Weather-Robust LiDAR Place Recognition

CVPR 2026

LiDAR-based place recognition is highly sensitive to rain, snow, and fog, where scattering and attenuation distort geometric structure and intensity. We tackle this problem with Conditional Latent Velocity Field (C-LaV) denoising, which restores weather-robust representations before retrieval. Singl

Cited by 0SourceScholar
2026

Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration

ICRA 2026poster

Tactile and kinesthetic perceptions are crucial for human dexterous manipulation, enabling reliable grasping of objects via proprioceptive sensorimotor integration. For robotic hands, even though acquiring such tactile and kinesthetic feedback is feasible, establishing a direct mapping from this sen…

2026

HumanoidExo: Scalable Whole-Body Humanoid Manipulation Via Wearable Exoskeleton

ICRA 2026poster

A significant bottleneck in humanoid policy learning is the acquisition of large-scale, diverse datasets, as collecting reliable real-world data remains both difficult and cost-prohibitive. To address this limitation, we introduce HumanoidExo, a novel system that transfers human motion to whole-body…

2025

DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction

RA-L 2025

In recent years, there has been a significant amount of research on algorithms and control methods for distributed collaborative robots. However, the emergence of collective behavior in a swarm is still difficult to predict and control. Nevertheless, human interaction with the swarm helps render the

Cited by 4SourcecodeScholar
2025

Dual-Arm Hierarchical Planning for Laboratory Automation: Vibratory Sieve Shaker Operations

IROS 2025

This paper addresses the challenges of automating vibratory sieve shaker operations in a materials laboratory, focusing on three critical tasks: 1) dual-arm lid manipulation in 3 cm clearance spaces, 2) bimanual handover in overlapping workspaces, and 3) obstructed powder sample container delivery w

Cited by 0SourceScholar
2025

LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar

IROS 2025

As lunar exploration missions grow increasingly complex, ensuring safe and autonomous rover-based surface exploration has become one of the key challenges in lunar exploration tasks. In this work, we have developed a lunar surface simulation system called the Lunar Exploration Simulator System (LESS

Cited by 3SourcecodeScholar
2025

RGB-Based Category-Level Object Pose Estimation via Depth Recovery and Adaptive Refinement

RA-L 2025

Category-level pose estimation methods have received widespread attention as they can be generalized to intra-class unseen objects. Although RGB-D-based category-level methods have made significant progress, reliance on depth image limits practical application. RGB-based methods offer a more practic

Cited by 3SourceScholar