Mrinal Kalakrishnan
12 papers · 2008–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π
Keyword Champion
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Reinforcement Learning
(5)
Applications
(5)
Deep Learning
(4)
Robotics
(4)
Learning Types Β· Deep Learning
(4)
Capabilities
(3)
Application Areas
(2)
Learning Types Β· Machine Learning
(2)
Methods
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Keywords
self-supervised learning
(3)
robotic grasping
(3)
dino
(2)
reinforcement learning
(2)
vision-based control
(2)
variational inference
(1)
domain generalization
(1)
imitation learning
(1)
bayesian inference
(1)
computer vision
(1)
gaussian processes
(1)
robotic manipulation
(1)
expectation maximization
(1)
point cloud
(1)
distributional reinforcement learning
(1)
domain adaptation
(1)
embodied ai
(1)
online decision making
(1)
domain randomization
(1)
image translation
(1)
Papers
DexterityGen: Foundation Controller for Unprecedented Dexterity
RSS 2025
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
ICLR 2024
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
Sparsh: Self-supervised touch representations for vision-based tactile sensing
CoRL 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
RSS 2020
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards
ICLR 2020
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
CoRL 2018
Data-Driven Online Decision Making for Autonomous Manipulation
RSS 2015
Bayesian Kernel Shaping for Learning Control
NeurIPS 2008