Mustafa Mukadam
26 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
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Research topics
Machine Learning
(17)
Artificial Intelligence
(13)
Core AI
(12)
Learning Types
(8)
Deep Learning
(7)
Robotics
(7)
Capabilities
(6)
Optimization & Theory
(5)
Computer Vision
(4)
Mathematics & Optimization
(4)
Application Areas
(4)
Core Methods
(4)
Reinforcement Learning
(3)
Analysis
(3)
Applications
(3)
Keywords
motion planning
(4)
self-supervised learning
(3)
reinforcement learning
(3)
probabilistic inference
(3)
imitation learning
(3)
factor graph optimization
(2)
zero-shot generalization
(2)
robot manipulation
(2)
tactile sensing
(2)
neural network
(2)
policy learning
(2)
particle filtering
(1)
probabilistic modeling
(1)
robot perception
(1)
pose estimation
(1)
metric learning
(1)
3d reconstruction
(1)
robotic navigation
(1)
visual navigation
(1)
sim-to-real transfer
(1)
Papers
DexterityGen: Foundation Controller for Unprecedented Dexterity
RSS 2025
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
ICML 2025
Self-supervised perception for tactile skin covered dexterous hands
CoRL 2025
Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
CoRL 2025
A Touch, Vision, and Language Dataset for Multimodal Alignment
ICML 2024
Sparsh: Self-supervised touch representations for vision-based tactile sensing
CoRL 2024
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
RSS 2023
TaskMet: Task-driven Metric Learning for Model Learning
NeurIPS 2023
In-Hand Gravitational Pivoting Using Tactile Sensing
CoRL 2022
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
RSS 2022
MidasTouch: Monte-Carlo inference over distributions across sliding touch
CoRL 2022
Theseus: A Library for Differentiable Nonlinear Optimization
NeurIPS 2022
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
CoRL 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
NeurIPS 2021
LEO: Learning Energy-based Models in Factor Graph Optimization
CoRL 2021
No RL, No Simulation: Learning to Navigate without Navigating
NeurIPS 2021
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
ICCV 2021
Taskography: Evaluating robot task planning over large 3D scene graphs
CoRL 2021
Where2Act: From Pixels to Actions for Articulated 3D Objects
ICCV 2021
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
L4DC 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning
NeurIPS 2020
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations
CoRL 2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
CoRL 2019
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference
RSS 2017
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
CoRL 2017
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
RSS 2016