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20182026
most citedLanguageRefer: Spatial-Language Model for 3D Visual Grounding

22 citations · 23 across the 10 of their papers we have counts for

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14 papers · 1 filter

cs.RO2026

DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning

Hanchen Cui, Sergio Arnaud, Arjun Majumdar +5

Pretrained vision-language-action (VLA) policies show promising zero-shot generalization, but often fail under deployment-time distribution shift, leading to decreased robustness a…

cs.RO2025

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance

Tzu-Hsien Lee, Fidan Mahmudova, Karthik Desingh

Achieving precise positioning of the mobile manipulator's base is essential for successful manipulation actions that follow. Most of the RGB-based navigation systems only guarantee…

cs.RO2025

SENT Map -- Semantically Enhanced Topological Maps with Foundation Models

Raj Surya Rajendran Kathirvel, Zach A Chavis, Stephen J. Guy +1

We introduce SENT-Map, a semantically enhanced topological map for representing indoor environments, designed to support autonomous navigation and manipulation by leveraging advanc…

cs.RO2025

SPARK-Remote: A Cost-Effective System for Remote Bimanual Robot Teleoperation

Adam Imdieke, Karthik Desingh

Robot teleoperation enables human control over robotic systems in environments where full autonomy is challenging. Recent advancements in low-cost teleoperation devices and VR/AR t…

cs.RO2024

SuperQ-GRASP: Superquadrics-based Grasp Pose Estimation on Larger Objects for Mobile-Manipulation

Xun Tu, Karthik Desingh

Grasp planning and estimation have been a longstanding research problem in robotics, with two main approaches to find graspable poses on the objects: 1) geometric approach, which r…

cs.RO2024

AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks

Ryan Diaz, Adam Imdieke, Vivek Veeriah +1

Operating in unstructured environments like households requires robotic policies that are robust to out-of-distribution conditions. Although much work has been done in evaluating r…