← Search

Haoyang Wang

7 accepted papers

2026

Bi-Hap: A Bi-Directional Learning-Based Control and Momentum-Based Haptic Feedback System for Dexterous In-Hand Telemanipulation

ICRA 2026poster

Dexterous in-hand telemanipulation demands precise control and realistic haptic feedback to achieve stable and intuitive human–robot interaction. Existing systems often emphasize isolated control policies or unidirectional force feedback, limiting performance in tasks that require coordinated bidire…

Cited by 0Scholar
2026

x^2-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space

CVPR 2026

Estimating dense 2D optical flow and 3D scene flow is essential for dynamic scene understanding. Recent work combines images, LiDAR, and event data to jointly predict 2D and 3D motion, yet most approaches operate in separate heterogeneous feature spaces. Without a shared latent space that all modali

Cited by 0SourceScholar
2025

Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking

IROS 2025

Dexterous telemanipulation critically relies on the continuous and stable tracking of the human operator’s commands to ensure robust operation. Vison-based tracking methods are widely used but have low stability due to anomalies such as occlusions, inadequate lighting, and loss of sight. Traditional

Cited by 0SourceScholar
2025

Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection

IROS 2025

Tactile sensors can significantly enhance the perception of humanoid robotics systems by providing contact information that facilitates human-like interactions. However, existing commercial tactile sensors focus on improving the resolution and sensitivity of single-modal detection with high-cost com

Cited by 0SourceScholar
2024

Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach

IROS 2024poster

Dexterous telemanipulation is crucial in advancing human-robot systems, especially in tasks requiring precise and safe manipulation. However, it faces significant challenges due to the physical differences between human and robotic hands, the dynamic interaction with objects, and the indirect contro…

Cited by 3SourceScholar
2020

BLSM: A Bone-Level Skinned Model of the Human Mesh

ECCV 2020poster

We introduce BLSM, a bone-level skinned model of the human body mesh where bone scales are set prior to template synthesis, rather than the common, inverse practice. BLSM first sets bone lengths and joint angles to specify the skeleton, then specifies identity-specific surface variation, and finally…

Cited by 21SourcePDFScholar
2019

Combining 3D Morphable Models: A Large Scale Face-And-Head Model

CVPR 2019oral

Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D surfaces of an object class. In this context, we identify an interesting question that has previously not received research attention: is it possible to combine two or more 3DMMs that (a) are built usin…

Cited by 104PDFScholar