4 citations · 6 across the 8 of their papers we have counts for
9 papers
Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models
Paul Pacaud, Ricardo Garcia, Shizhe Chen +1
Robust robotic manipulation requires reliable failure detection and recovery. Although recent Vision-Language Models (VLMs) show promise in robot failure detection, their generaliz…
FOM-Nav: Frontier-Object Maps for Object Goal Navigation
Thomas Chabal, Shizhe Chen, Jean Ponce +1
This paper addresses the Object Goal Navigation problem, where a robot must efficiently find a target object in an unknown environment. Existing implicit memory-based methods strug…
Gondola: Grounded Vision Language Planning for Robotic Manipulation
Shizhe Chen, Ricardo Garcia, Paul Pacaud +1
Vision-language-action (VLA) models have shown promising progress in robotic manipulation. However, directly mapping visual observations and language instructions to low-level acti…
ComposeAnything: Composite Object Priors for Text-to-Image Generation
Zeeshan Khan, Shizhe Chen, Cordelia Schmid
Generating images from text involving complex and novel object arrangements remains a significant challenge for current text-to-image (T2I) models. Although prior layout-based meth…
HORT: Monocular Hand-held Objects Reconstruction with Transformers
Zerui Chen, Rolandos Alexandros Potamias, Shizhe Chen +1
Reconstructing hand-held objects in 3D from monocular images remains a significant challenge in computer vision. Most existing approaches rely on implicit 3D representations, which…
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy
Ricardo Garcia, Shizhe Chen, Cordelia Schmid
Generalizing language-conditioned robotic policies to new tasks remains a significant challenge, hampered by the lack of suitable simulation benchmarks. In this paper, we address t…
ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
Zerui Chen, Shizhe Chen, Etienne Arlaud +2
In this work, we aim to learn a unified vision-based policy for multi-fingered robot hands to manipulate a variety of objects in diverse poses. Though prior work has shown benefits…
SUGAR: Pre-training 3D Visual Representations for Robotics
Shizhe Chen, Ricardo Garcia, Ivan Laptev +1
Learning generalizable visual representations from Internet data has yielded promising results for robotics. Yet, prevailing approaches focus on pre-training 2D representations, be…
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
Shizhe Chen, Ricardo Garcia, Cordelia Schmid +1
The ability for robots to comprehend and execute manipulation tasks based on natural language instructions is a long-term goal in robotics. The dominant approaches for language-gui…