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Action representation is an important yet often overlooked aspect in end-to-end robot learning with deep networks. Choosing one action space over another (e.g. target joint positions, or Cartesian end-effector poses) can result in…

Robotics · Computer Science 2022-03-07 Aditya Ganapathi , Pete Florence , Jake Varley , Kaylee Burns , Ken Goldberg , Andy Zeng

To achieve high-accuracy manipulation in the presence of unknown disturbances, we propose two novel efficient and robust motion control schemes for high-dimensional robot manipulators. Both controllers incorporate an unknown system dynamics…

Robotics · Computer Science 2024-08-13 Xinyu Jia , Jun Yang , Kaixin Lu , Yongping Pan , Haoyong Yu

We show that, under certain circumstances, it is possible to automatically compute Jacobian-inverse-vector and Jacobian-inverse-transpose-vector products about as efficiently as Jacobian-vector and Jacobian-transpose-vector products. The…

Numerical Analysis · Mathematics 2026-03-18 Barak A. Pearlmutter , Jeffrey Mark Siskind

We present an analytical solution for the inverse kinematics (IK) of a robotic arm with one prismatic joint and four revolute joints. This 5-DoF design is a result of minimizing weight while preserving functionality of the device in a…

Robotics · Computer Science 2020-11-17 Vighnesh Vatsal , Guy Hoffman

In recent years, the focus on developing robot manipulators has shifted towards prioritizing safety in Human-Robot Interaction (HRI). Impedance control is a typical approach for interaction control in collaboration tasks. However, such a…

Robotics · Computer Science 2025-04-24 Zi-Qi Yang , Miaomiao Wang , Mehrdad R. Kermani

The dominant way to control a robot manipulator uses hand-crafted differential equations leveraging some form of inverse kinematics / dynamics. We propose a simple, versatile joint-level controller that dispenses with differential equations…

Robotics · Computer Science 2021-08-23 Visak Kumar , David Hoeller , Balakumar Sundaralingam , Jonathan Tremblay , Stan Birchfield

We propose to solve inverse problems involving the temporal evolution of physics systems by leveraging recent advances from diffusion models. Our method moves the system's current state backward in time step by step by combining an…

Machine Learning · Computer Science 2023-12-06 Benjamin J. Holzschuh , Simona Vegetti , Nils Thuerey

We propose an effective method for solving the inverse kinematic problem of a specific model of 6-degree-of-freedom (6-DOF) robot manipulator using computer algebra. It is known that when the rotation axes of three consecutive rotational…

Robotics · Computer Science 2025-09-09 Takumu Okazaki , Akira Terui , Masahiko Mikawa

Benchmarks of state-of-the-art rigid-body dynamics libraries report better performance solving the inverse dynamics problem than the forward alternative. Those benchmarks encouraged us to question whether that computational advantage would…

Robotics · Computer Science 2021-03-12 Henrique Ferrolho , Vladimir Ivan , Wolfgang Merkt , Ioannis Havoutis , Sethu Vijayakumar

Set-Based Multi-Task Priority is a recent framework to handle inverse kinematics for redundant structures. Both equality tasks, i.e., control objectives to be driven to a desired value, and set-bases tasks, i.e., control objectives to be…

Robotics · Computer Science 2020-07-08 Paolo Di Lillo , Stefano Chiaverini , Gianluca Antonelli

This paper presents an inverse optimal control methodology and its application to training a predictive model of human motor control from a manipulation task. It introduces a convex formulation for learning both objective function and…

Systems and Control · Computer Science 2019-12-05 Marcel Menner , Peter Worsnop , Melanie N. Zeilinger

A redundant manipulator has multiple inverse kinematics solutions per end-effector pose. Accordingly, there can be many trajectories for joints that follow a given endeffector path in the Cartesian space. In this paper, we present a…

Robotics · Computer Science 2020-11-10 Mincheul Kang , Heechan Shin , Donghyuk Kim , Sung-Eui Yoon

This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy considers the complete coupled dynamics of the system and…

Robotics · Computer Science 2026-05-20 Reza Nazmara , Alap Kshirsagar , Jan Peters , A. Pedro Aguiar

With advancing technologies, robotic manipulators and visual environment sensors are becoming cheaper and more widespread. However, robot control can be still a limiting factor for better adaptation of these technologies. Robotic…

Robotics · Computer Science 2019-02-18 Justinas Miseikis , Kyrre Glette , Ole Jakob Elle , Jim Torresen

Mirroring the complex structures and diverse functions of natural organisms is a long-standing challenge in robotics. Modern fabrication techniques have greatly expanded the feasible hardware, but using these systems requires control…

Robotics · Computer Science 2025-08-01 Sizhe Lester Li , Annan Zhang , Boyuan Chen , Hanna Matusik , Chao Liu , Daniela Rus , Vincent Sitzmann

We present a control strategy that applies inverse dynamics to a learned acceleration error model for accurate multirotor control input generation. This allows us to retain accurate trajectory and control input generation despite the…

Robotics · Computer Science 2020-11-03 Alexander Spitzer , Nathan Michael

This paper presents ETA-IK, a novel Execution-Time-Aware Inverse Kinematics method tailored for dual-arm robotic systems. The primary goal is to optimize motion execution time by leveraging the redundancy of both arms, specifically in tasks…

Robotics · Computer Science 2025-10-21 Yucheng Tang , Xi Huang , Yongzhou Zhang , Tao Chen , Ilshat Mamaev , Björn Hein

Inverse kinematic (IK) methods recover the parameters of the joints, given the desired position of selected elements in the kinematic chain. While the problem is well-defined and low-dimensional, it has to be solved rapidly, accounting for…

Machine Learning · Computer Science 2022-05-24 Raphael Bensadoun , Shir Gur , Nitsan Blau , Tom Shenkar , Lior Wolf

This paper presents a novel implicit scheme for the constraint resolution in real-time finite element simulations in the presence of contact and friction. Instead of using the standard motion correction scheme, we propose an iterative…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-13 Ziqiu Zeng , Hadrien Courtecuisse

In this paper, we present a hybrid position/force controller for operating joint robots. The hybrid controller has two goals -- motion tracking and force regulating. As long as these two goals are not mutually exclusive, they can be…

Robotics · Computer Science 2021-06-08 Shengwen Xie , Juan Ren
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