activity
20242026
most citedNEDS-SLAM: A Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting

33 citations · 33 across the 5 of their papers we have counts for

collaborators

8 papers

cs.RO2026

EATR-Stereo: Embodiment-Aware Token Routing of Paired Stereo Evidence for Humanoid Vision-Language-Action Control

Songwei Wu, Rui Zhao, Fan Yang +7

Long-horizon humanoid vision--language--action (VLA) control with head-mounted stereo cameras requires visual interfaces that can exploit complementary views while maintaining comp…

cs.RO2025

HDCNet: A Hybrid Depth Completion Network for Grasping Transparent and Reflective Objects

Guanghu Xie, Mingxu Li, Songwei Wu +4

Depth perception of transparent and reflective objects has long been a critical challenge in robotic manipulation.Conventional depth sensors often fail to provide reliable measurem…

cs.RO2025

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects

Guanghu Xie, Zhiduo Jiang, Yonglong Zhang +4

Transparent and reflective objects in everyday environments pose significant challenges for depth sensors due to their unique visual properties, such as specular reflections and li…

cs.CV2025

HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion

Guanghu Xie, Yonglong Zhang, Zhiduo Jiang +4

Transparent and reflective objects pose significant challenges for depth sensors, resulting in incomplete depth information that adversely affects downstream robotic perception and…

cs.RO2025

Learning Perceptive Humanoid Locomotion over Challenging Terrain

Wandong Sun, Baoshi Cao, Long Chen +4

Humanoid robots are engineered to navigate terrains akin to those encountered by humans, which necessitates human-like locomotion and perceptual abilities. Currently, the most reli…

cs.RO2024

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning

Yiming Ji, Kaijie Yun, Yang Liu +2

Q-learning is a widely used reinforcement learning technique for solving path planning problems. It primarily involves the interaction between an agent and its environment, enablin…

cs.CV2024

Diffusion as Reasoning: Enhancing Object Navigation via Diffusion Model Conditioned on LLM-based Object-Room Knowledge

Yiming Ji, Kaijie Yun, Yang Liu +4

The Object Navigation (ObjectNav) task aims to guide an agent to locate target objects in unseen environments using partial observations. Prior approaches have employed location pr…

cs.CV2024★ 33 cited

NEDS-SLAM: A Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting

Yiming Ji, Yang Liu, Guanghu Xie +2

We propose NEDS-SLAM, a dense semantic SLAM system based on 3D Gaussian representation, that enables robust 3D semantic mapping, accurate camera tracking, and high-quality renderin…