Research Area
Robotics | Autodesk Research
Working to make robots more flexible, more adaptive, and more compatible with modern manufacturing and construction workflows.
Autodesk Research is exploring flexible and adaptive robotic systems for automated assembly.
The robotics team at Autodesk explores applications of robots in manufacturing and construction. Our current focus is on flexible and adaptive robotic assembly. We aim to design systems that are flexible and can be easily repurposed for new assembly tasks.
We also aim for adaptivity, allowing our systems to adapt to part, environment, and process variations. We combine multi-modal sensor information including vision and force sensing with deep-learning based perception and learned behaviors in a systems approach to assembling complex products.
The Robotics Team at Autodesk Research is led by Sachin Chitta and is primarily based in San Francisco, CA. Our robotics teams collaborate with leading academic and industry partners to publish at top-tier conferences such as ICRA, IROS, and RSS.
Read All Robotics PublicationsAutodesk Research Robotics Team
Farhad Javid
Former Autodesk
Recent Publications – Robotics
2024
Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial InsertionA novel framework for robustly learning manipulation skills…
2024
ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical FeasibilityA physics-based planning approach for automatically generating…
2023
Constrained-Context Conditional Diffusion Models for Imitation LearningA diffusion model policy for solving 6-DoF robotic manipulation tasks…
Recent Stories – Robotics
2023
Generalizable Pose Estimation Using Implicit Scene RepresentationsA look at how Autodesk empowers engineers and designers by exploring…
2023
Safe Self-Supervised Learning of Insertion Skills in the Real World using Tactile and Visual SensingExploring how to safely train robots how to perform industrial…
2023
Driving Robotic Assembly Using CAD DataLearn how Researchers at Autodesk are using CAD data to help with…
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