Daniel Rakita

About

Daniel Rakita is a robotics researcher whose work sits at the intersection of motion synthesis, teleoperation, and human-robot interaction. He is perhaps best known for developing RelaxedIK, a real-time inverse kinematics solver that enables robot manipulators to generate smooth, physically feasible motions while accurately tracking end-effector goals — a contribution that has garnered over 113 citations and become a widely adopted tool in the robotics community. His research consistently tackles the challenge of making robot arms more intuitive to control and more effective as collaborative partners, as demonstrated by his highly cited work on shared-control bimanual manipulation (104 citations) and mimicry-based teleoperation interfaces (91 citations) that allow novice users to direct robot arms using natural hand movements. Rakita has also advanced the field of autonomous camera systems for remote teleoperation and contributed MotionBenchMaker, a benchmarking framework addressing the lack of standardized evaluation tools for motion planners. Beyond manipulation, his investigations into human-robot interaction within virtual reality environments reflect a broader commitment to understanding how humans perceive and work alongside robots. With over 570 cumulative citations across a focused body of work, Rakita has established himself as an influential voice in practical, human-centered robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion

   113 citations · 2018
2. 2
   Shared control–based bimanual robot manipulation

   104 citations · 2019
3. 3
   A Motion Retargeting Method for Effective Mimicry-based Teleoperation of Robot Arms

   91 citations · 2017
4. 4
   An Autonomous Dynamic Camera Method for Effective Remote Teleoperation

   72 citations · 2018
5. 5
   MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets

   51 citations · 2021
6. 6
   Understanding human-robot interaction in virtual reality

   43 citations · 2017
7. 7
   Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments

   31 citations · 2019
8. 8
   A flexible optimization-based method for synthesizing intent-expressive robot arm motion

   29 citations · 2018
9. 9
   STAMPEDE: A Discrete-Optimization Method for Solving Pathwise-Inverse Kinematics

   24 citations · 2019
10. 10
    Evaluating intent-expressive robot arm motion

    18 citations · 2016

Key Collaborators

Contact & Links