works on

From the 1 of 15 linked papers with an AI index.

activity
20242026
collaborators

15 papers

cs.CV2026

GeoBridge: Decoupled Semantic Conditioning for Generative Image Geolocalization

Zhiyang Dou, Xumeng Han, Fengde Peng +4

Multimodal large language models (MLLMs) have advanced image geolocalization mainly by improving how they reason about geographic cues. How that reasoning isdecoded into coordinate…

cs.RO2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Shilin Shan, Chuhao Zhou, Ruize Wang +30

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical…

cs.RO2026

NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception

Zhiyang Dou, John U. Onyemelukwe, Hangxing Zhang +9

NeuralActuator is a neural network model that predicts actuator effort, external contact forces, and motor condition for low‑cost robot arms, using differentiable simulation and a…

cs.CV2026

Towards Interactive Global Geolocation Assistant

Zhiyang Dou, Zipeng Wang, Xumeng Han +3

Global geolocation, which seeks to predict the geographical location of images captured anywhere in the world, is one of the most challenging tasks in the field of computer vision.…

cs.CV2026

HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining

Juncheng Ma, Jianxin Bi, Yufan Deng +19

Embodied foundation models are expected to benefit from data scaling like large language models, but face a much tighter data bottleneck. Teleoperated real-robot trajectories remai…

cs.CV2026

RigidFormer: Learning Rigid Dynamics using Transformers

Zhiyang Dou, Minghao Guo, Haixu Wu +3

Learning-based simulation of multi-object rigid-body dynamics remains difficult because contact is discontinuous and errors compound over long horizons. Most existing methods remai…