44 citations · 149 across the 130 of their papers we have counts for
165 papers
LADDER: A Long-Horizon Robot Manipulation Benchmark
Petko Petkov, Giuliano Albanese, Nikolay Nikolov +3
General-purpose robot manipulation policies learn short-horizon skills effectively, but degrade rapidly on long-horizon tasks. Existing benchmarks cannot isolate failures because t…
DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine
Haozhe Lou, Runyi Yang, Wanqi Zhong +10
Cutting a piece of food looks effortless in human hands. For a robot, however, every cut is a high-contact interaction with a deformable, elasto-plastic object whose behavior chang…
Global Average Precision for Representation Learning
Bill Psomas, Mohammad Mahdi, Michalis Thomas +3
Standard information retrieval metrics, such as mean Average Precision (mAP), assess performance one query at a time, based on how the similarities between a query and its positive…
Foresight: planning future perception in streaming VLMs without retraining
Ashok Prasad Neupane, Dipan Bartaula, Ankit Belbase +5
Existing streaming vision-language models (VLMs) continuously perceive and reason over visual streams, but their computational pathways remain fixed throughout inference. Consequen…
Task-Adaptive Grounded 3D-Programmers Using 2D VLMs
Arman Raayatsanati, Sombit Dey, Anna-Maria Halacheva +3
Recent vision-language models (VLMs) exhibit remarkable generalization and reasoning abilities, yet 3D understanding in these models is limited by data scale, training diversity, a…
iADD: Improving Alignment and Diversity in Diffusion Policy Optimization
Ashok Prasad Neupane, Saugat Adhikari, Pramish Paudel +2
Reinforcement learning based post training of diffusion models, such as Denoising Diffusion Policy Optimization (DDPO), optimizes a reverse diffusion process under a reward functio…