1 citations · 1 across the 2 of their papers we have counts for
6 papers
XM4D: 4D Reconstruction through Certifiable Geometric Optimization
Haoyu Han, Jack Benarroch Jedlicki, Jiahui Lei +1
Accurate 4D reconstruction remains challenging: jointly estimating camera motion, scene geometry, and non-rigid deformation entails highly nonconvex optimization, making global opt…
Can a Frontier VLM Serve as a Robot Policy for Memory-Dependent Manipulation?
Jack B. Jedlicki, Amish Sethi, Heng Yang
We use a frozen frontier vision-language model, GPT-6-Astra, directly as the robot policy on RoboMME, a benchmark of 16 memory-dependent manipulation tasks spanning temporal, spati…
Where Memory Belongs: Ledger, an Object Ledger for Memory-Augmented VLAs
Tanguy Dieudonné, Jack B. Jedlicki, Heng Yang
Memory is essential for long-horizon, partially observed robotic manipulation: a robot must remember which object was placed in a drawer, whose cup it moved, or how many action cyc…
OCC4M: Object-Centric 4D Memory for Spatiotemporal Reasoning in Long-Horizon Manipulation
Jack B. Jedlicki, Tanguy Dieudonné, Heng Yang
Long-horizon manipulation often requires reasoning about state absent from the current view, such as a vanished object's location, temporal identity, or the contents of a shuffled…
A Unifying Lens on Reward Uncertainty in RLHF
Ely Hahami, Yoel Zimmermann, Ray Zhou +1
Reinforcement learning from human feedback (RLHF) is bottlenecked by reward hacking, where the policy exploits errors in a proxy reward model (RM) and produces high RM scores witho…
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
Keying Kuang, Frances Dean, Jack B. Jedlicki +4
A digital twin is a virtual replica of a real-world physical phenomena that uses mathematical modeling to characterize and simulate its defining features. By constructing digital t…