5 papers
Flow structure decides whether a robot searching for odour should follow the wind
Junlong Shen, Shunsuke Shigaki
Robots searching for odour usually surge upwind on contact, steering by the wind sensed now. In simulated reversing wind this rule collapses, favouring controllers that hold an ear…
Aggregate, Don't Adapt: Subject-Level Posterior Aggregation and Transductive Calibration for Cross-Site Parkinsonian Gait Severity
Junlong Shen
We describe the winning entry to the MoCha 2026 Benchmark and Challenge on Parkinsonian Gait, which predicts MDS-UPDRS gait severity from canonicalized SMPL motion recorded at clin…
Weight Feedback Computes the Jacobian Transpose Locally in Modern Deep Networks
Junlong Shen, Xingyu Li
Predictive Coding (PC) offers a biologically motivated alternative to backpropagation via local weight updates, yet routing error between layers still relies on an autograd Jacobia…
The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms
Lingdong Kong, Shaoyuan Xie, Zeying Gong +135
Autonomous systems are increasingly deployed in open and dynamic environments -- from city streets to aerial and indoor spaces -- where perception models must remain reliable under…
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
Shuangzhi Li, Junlong Shen, Lei Ma +1
LiDAR-based 3D object detection models often struggle to generalize to real-world environments due to limited object diversity in existing datasets. To tackle it, we introduce the…