Dhruv Shah
22 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)
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Conference Polyglot
(7)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(9)
🤝
Dynamic Duo
(13)
👥
Mega-Team
(22)
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(85)
⚡
Prolific Year
(5)
🔥
Unstoppable
(6)
💎
Century Club
(22)
Conferences
CORL (9)
RSS (6)
ICLR (3)
AAAI (1)
EMNLP (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
robotic navigation
(3)
imitation learning
(3)
large language model
(2)
representation learning
(2)
foundation model
(2)
goal-conditioned policy
(2)
exploration strategy
(2)
semantic parsing
(1)
image generation
(1)
zero-shot learning
(1)
text generation
(1)
data integration
(1)
information bottleneck
(1)
autonomous driving
(1)
anomaly detection
(1)
visual observation
(1)
semantic memory
(1)
mutual information
(1)
reward function
(1)
semantic knowledge
(1)
Papers
Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization
RSS 2025
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
CORL 2025
Declarative Techniques for NL Queries over Heterogeneous Data
EMNLP 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
Robot Data Curation with Mutual Information Estimators
RSS 2025
GOAT: GO to Any Thing
RSS 2024
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People
CORL 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
RSS 2024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
CORL 2024
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
CORL 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
CORL 2023
AI Model Factory: Scaling AI for Industry 4.0 Applications
AAAI 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
NIPS 2023
ViNT: A Foundation Model for Visual Navigation
CORL 2023
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
CORL 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
RSS 2022
Offline Reinforcement Learning for Visual Navigation
CORL 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
ICLR 2022
Rapid Exploration for Open-World Navigation with Latent Goal Models
CORL 2021
Toward a neuro-inspired creative decoder
IJCAI 2020
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
RSS 2020
The Ingredients of Real World Robotic Reinforcement Learning
ICLR 2020