Papers
53
Total Citations
4,935
H-Index
25
About
Jitendra Malik is a pioneering computer vision and robotics researcher whose work spans object recognition, embodied AI, and robot learning. Best known for bridging perception and physical interaction, Malik has made foundational contributions to how machines see, understand, and navigate the real world. His early influential work on RGB-D object detection and segmentation (1,531 citations) helped establish multimodal visual learning as a cornerstone of modern computer vision. Malik subsequently turned his attention to embodied intelligence, co-developing landmark platforms such as Gibson Env and Habitat, which enabled researchers to train virtual agents in photorealistic simulations—accelerating progress across the entire embodied AI community and collectively garnering over 900 citations. His robotics contributions are equally impressive: the RMA algorithm (447 citations) demonstrated how quadruped robots could adapt in real-time to unpredictable terrain, while work on vision-and-touch grasping and intuitive physics learning pushed robots toward more human-like dexterity. More recently, his involvement in large-scale manipulation datasets like DROID and real-world humanoid locomotion reflects a drive to take learned behaviors beyond simulation into practical deployment. With over 3,700 combined citations across just these ten works, Malik's research continues to shape how intelligent agents perceive, reason, and act in the physical world.
Research Focus
Key Achievements
Top Papers
- 1Learning Rich Features from RGB-D Images for Object Detection and Segmentation1,531 citations · 2014
- 2Gibson Env: Real-World Perception for Embodied Agents714 citations · 2018
- 3RMA: Rapid Motor Adaptation for Legged Robots447 citations · 2021
- 4More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch353 citations · 2018
- 5Cognitive Mapping and Planning for Visual Navigation218 citations · 2019
- 6Habitat: A Platform for Embodied AI Research197 citations · 2019
- 7Real-world humanoid locomotion with reinforcement learning151 citations · 2024
- 8Learning to Poke by Poking: Experiential Learning of Intuitive Physics132 citations · 2016
- 9Navigating to objects in the real world113 citations · 2023
- 10DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset108 citations · 2024