English
nvidia-robotics-lab-kickoff.5cee623

„The Franka Emika robot system is ideal for our research in reactive, robust manipulation in open-ended environments. It is also well suited for our work toward collaborative manipulation alongside people.“

Dieter Fox, Senior Director - Robotics Research, NVIDIA

Leila.3eae68e

„Humans and robots are differently intelligent; by interacting, we can combine skills to do more than what we could achieve separately.“

Leila Takayama, Associate Professor - Human-Robot Interaction, University of California

Khatib-min.054cafb

„A new era of robotic applications calls for a new robot generation. Franka Emika is laying down a solid foundation for the new challenges in real-world robotics applications.“

Oussama Khatib, Director - Robotics Lab, Stanford University

Resources and Community

An open and global research ecosystem enabled by a powerful robotics platform for quicker time to results and publishing. Franka Research 3 is the reference platform to integrate existing research, share breakthroughs and collaborate on projects, replicate studies and promote papers with the community.

Join Franka Community

Learn with our tutorials

Get FCI documentation

Visit Franka Hub


Customize your Franka Research 3

Franka Hand

 

The Hand is Franka Robotics' 2-finger gripper with exchangeable fingertips, fully integrated with the software of Franka Research 3, therefore plug-and-use. The fingertips can easily be changed and adapted to the objects to be grasped, e.g. by using 3D-printed fingertips.

Try out the 3D Lab to customize fingertips

App Package for FR3

 

Apps are modular building blocks that can be combined into App Workflows to prototype robot behaviors rapidly. Each App contains a context menu where the user is guided interactively to enter parameters like speed and force, as well as to set robot poses by demonstration.

 

RIDE

 

RIDE is the development interface for writing custom Apps and connecting third-party hardware and external resources. It's the ideal tool for customizing and extending the system’s capabilities.

 

 

Interested in the offer?


The right interface for each use case

Three access levels to the robot address different needs and skills, for the whole spectrum of robotics research.

DESK

The ease of use and minimal programming time makes Desk the most suitable interface for rapid prototyping, simple human robot interaction studies and demos.

 

See details

desk.470b822

RIDE

It enables researchers to fully integrate the Franka Robotics system into experimental setups, and exploit its integrated high performance controllers. It is also a great tool for teaching introductory robotics.

 

See details

ride.a041de5

FCI

FCI bypasses the robot’s Control to let researchers run their own control algorithms in external real-time capable PCs at 1 kHz. It is the ideal interface to explore low-level planning and control schemes.

 

See details

fci.7cc017e
  DESK RIDE FCI
Workflow-based programming using Apps    
Quick prototyping of experiments and demos    
Execution of robot tasks  
Development of customized Apps    
Connection of third-party hardware  
Connection of external resources  
1 kHz torque, position and velocity control    
1 kHz measurement of sensor signals and robot status    
Access to kinematic and dynamic robot model    
Integration with ROS and MATLAB & Simulink    

 

The reference robotic platform for research, globally

Start collaborations across a multitude of fields and compare results with a continuously growing network of Franka Robotics academic users.

 

Check the academic community's publications
map_static.051d4a8

From AI, ML, Robot Control and Motion Planning, to Manipulation and HRI.

For researchers at the cutting edge of AI & Robotics, FRANKA RESEARCH 3 provides a reference force-sensitive robotic platform and powerful control interfaces, for quick time to results and publishing. The platform also offers a low barrier to entry for researchers in search of a robot arm to automate their experimental setup, as well as a support for teaching robot control and automation courses.

Guided Uncertainty Aware Policy Optimization

Motion Reasoning for Goal-Based Imitation Learning

RLBench: The Robot Learning Benchmark

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation

Reinforcement Learning for Robotic Rock Grasp Learning in Off-Earth Space Environments

Learning Generalizable Coupling Terms for Obstacle Avoidance via Low-Dimensional Geometric Descriptors

6-DOF Grasping for Target-driven Object Manipulation in Clutter

 

Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics

 

 

A novel adaptive controller for robot manipulators using active inference

A Teleoperation Interface for Loco-manipulation Control of MOCA

Planning Maximum-Manipulability Cutting Paths - RRT*-RMM

 

 

 

 

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

Object-Centric Task and Motion Planning in Dynamic Environments

 

 

 

 

Scaffold Learning: Learning to Scaffold the Development of Robotic Manipulation Skills

Learning to Generate 6-DoF Grasp Poses with Reachability Awareness

 

 

 

Learning Pregrasp Manipulation of Objects from Ungraspable Poses

Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications

 

Feedback-based Fabric Strip Folding

 

 

 

 

 

 

 

Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning

 

Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from Images

 

A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks

A Framework for Human-Robot Interaction User Studies

 

 

 

Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation

A Shared Autonomy Reconfigurable Control Framework for Telemanipulation of Multi-arm Systems