activity
20232026
most citedGOAT: GO to Any Thing

2 citations · 2 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Robot Planning and Situation Handling with Active Perception

Austine Oloo, Zainab Altaweel, Yohei Hayamizu +9

Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unforeseen situations frequently ar…

cs.RO2025

Cascaded Diffusion Models for Neural Motion Planning

Mohit Sharma, Adam Fishman, Vikash Kumar +2

Robots in the real world need to perceive and move to goals in complex environments without collisions. Avoiding collisions is especially difficult when relying on sensor perceptio…

cs.RO2024

GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering

Saumya Saxena, Blake Buchanan, Chris Paxton +6

In Embodied Question Answering (EQA), agents must explore and develop a semantic understanding of an unseen environment to answer a situated question with confidence. This problem…

cs.RO2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge

Sriram Yenamandra, Arun Ramachandran, Mukul Khanna +42

In order to develop robots that can effectively serve as versatile and capable home assistants, it is crucial for them to reliably perceive and interact with a wide variety of obje…

cs.RO20232 cited

GOAT: GO to Any Thing

Matthew Chang, Theophile Gervet, Mukul Khanna +10

In deployment scenarios such as homes and warehouses, mobile robots are expected to autonomously navigate for extended periods, seamlessly executing tasks articulated in terms that…