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Justin Yu — most-cited papers & profile · AI for Code
← authors
·
overview
Justin Yu
15
papers ·
75
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
The Ingredients of Real-World Robotic Reinforcement Learning
2020 · 28 citations
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
2021 · 10 citations
Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops
2023 · 3 citations
Playful Agentic Robot Learning
2026
SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation
2026
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
2026
EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations
2025
SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
2025
Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects
2025
Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot
2024
Top co-authors
Adithyavairavan Murali
· 1
Balakumar Sundaralingam
· 1
Christian Juette
· 1
Daehwa Kim
· 1
Guanzhi Wang
· 1
Haoru Xue
· 1
Hudson Kim
· 1
Jaimyn Drake
· 1
Jonathan Francis
· 1
Kaiyuan Chen
· 1
Ken Goldberg
· 1
Letian Fu
· 1
Topics
cs.RO
Perception
Manipulation
Human-Robot Interaction
Control
Multi-Robot
Multi-Agent
Code Agents
Tool Use
Planning