Publications related to Articulated robot

Motion Planning and Inertia Based Control for Impact Aware Manipulation

In this paper, we propose a metric called hitting flux which is used in the motion generation and controls for a robot manipulator to interact with the environment through a hitting or a striking motion. Given the task of placing a known object outside of ...

2023

A Stable Adaptive Extended Kalman Filter for Estimating Robot Manipulators Link Velocity and Acceleration

Aude Billard, Harshit Khurana

One can estimate the velocity and acceleration of robot manipulators by utilizing nonlinear observers. This involves combining inertial measurement units (IMUs) with the motor encoders of the robot through a model-based sensor fusion technique. This approa ...

IEEE2023

Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation

Zheng Dang, Fei Wang

In this work, we tackle the problem of 7-DoF grasping pose estimation(6-DoF with the opening width of parallel-jaw gripper) from point cloud data, which is a fundamental task in robotic manipulation. Most existing methods adopt 3D voxel CNNs as the backbon ...

IEEE2023

Exploration-based model learning with self-attention for risk-sensitive robot control

Sudong Lee

Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for policy improvement in model-free methods. However, both methods use exploration strategy relying on heuristics ...

2023

Exploiting Kinematic Redundancy for Robotic Grasping of Multiple Objects

Aude Billard, Kunpeng Yao

Humans coordinate the abundant degrees of freedom (DoFs) of hands to dexterously perform tasks in everyday life. We imitate human strategies to advance the dexterity of multi-DoF robotic hands. Specifically, we enable a robot hand to grasp multiple objects ...

2023

Morphological flexibility in robotic systems through physical polygon meshing

Jamie Paik, Kevin Andrew Holdcroft, Christoph Heinrich Belke, Alexander Thomas Sigrist

Shape-changing robots adapt their own morphology to address a wider range of functions or environments than is possible with a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configuration emerges from the underlying m ...

Nature Portfolio2023

Design considerations for robotically assembled through-tenon timber joints

Yves Weinand, Julien Gamerro, Nicolas Henry Pierre Louis Rogeau, Pierre Latteur

This research investigates the robotic assembly of timber structures connected by wood–wood connections. As the digitization of the timber construction sector progresses, digital tools, such as industrial robotic arms and Computer Numerical Control machine ...

2022

An integrated design tool for timber plate structures to generate joints geometry, fabrication toolpath, and robot trajectories

Yves Weinand, Nicolas Henry Pierre Louis Rogeau, Pierre Latteur

This paper presents an integrated design tool for structures composed of engineered timber panels that are connected by traditional wood joints. Recent advances in computational architecture have permitted to automate the fabrication and assembly of such s ...

2021

Efficient Configuration Exploration in Inverse Dynamics Acquisition of Robotic Manipulators

Aude Billard, Walid Amanhoud, Sthithpragya Gupta, Farshad Khadivar

The inverse dynamics of a robotic manipulator is instrumental in precise robot control and manipulation. However, acquiring such a model is challenging, not only due to unmodelled non-linearities such as joint friction, but also from a machine learning per ...

IEEE2021

Laser Scanning with Industrial Robot Arm for Raw-wood Fabrication

Yves Weinand, Petras Vestartas

This paper presents an integrated raw-wood fabrication workflow using an industrial robot arm and a laser scanner. The research is situated in a Swiss mountain forestry context where timber in its natural form could be applied locally without relying on la ...

2020

Incorporating Human Expertise in Robot Motion Learning and Synthesis

Hang Yin

With the exponential growth of robotics and the fast development of their advanced cognitive and motor capabilities, one can start to envision humans and robots jointly working together in unstructured environments. Yet, for that to be possible, robots nee ...

EPFL2018

Development and Comparison of Foot Interfaces for Controlling a Robotic Arm in Surgery

Hannes Bleuler, Mohamed Bouri, Etienne Burdet, Elahe Abdi

Currently available foot interfaces to command an external assistive robotic arm for laparoscopic surgery typically consist of a couple of push buttons placed on a planar platform. In this paper, we develop and compare two foot interfaces implementing isot ...

IEEE2018

An Overview on Principles for Energy Efficient Robot Locomotion

Salman Faraji

Despite enhancements in the development of robotic systems, the energy economy of today's robots lags far behind that of biological systems. This is in particular critical for untethered legged robot locomotion. To elucidate the current stage of energy eff ...

FRONTIERS MEDIA SA2018

A Unified Framework for Coordinated Multi-Arm Motion Planning

Aude Billard, Nadia Barbara Figueroa Fernandez, Seyed Sina Mirrazavi Salehian

Coordination is essential in the design of dynamic control strategies for multi-arm robotic systems. Given the complexity of the task and dexterity of the system, coordination constraints can emerge from different levels of planning and control. Primarily, ...

2018

Cellulo: Tangible Haptic Swarm Robots for Learning

Ayberk Özgür

Robots are steadily becoming one of the significant 21st century learning technologies that aim to improve education within both formal and informal environments. Such robots, called Robots for Learning, have so far been utilized as constructionist tools o ...

EPFL2018

EMG-based decoding of grasp gestures in reaching-to-grasping motions

Aude Billard, Silvestro Micera, Elvira Pirondini, Sahar El Khoury, Martina Coscia, Iason Batzianoulis

Predicting the grasping function during reach-to-grasp motions is essential for controlling a prosthetic hand or a robotic assistive device. An early accurate prediction increases the usability and the comfort of a prosthetic device. This work proposes an ...

Elsevier2017

The Making of a 3D-Printed, Cable-Driven, Single-Model, Lightweight Humanoid Robotic Hand

Daniel Thalmann

Dexterity robotic hands can (Cummings, 1996) greatly enhance the functionality of humanoid robots, but the making of such hands with not only human-like appearance but also the capability of performing the natural movement of social robots is a challenging ...

Frontiers Media Sa2017

Learning Reach-to-Grasp Motions From Human Demonstrations

Ashwini Shukla

Reaching over to grasp an item is arguably the most commonly used motor skill by humans. Even under sudden perturbations, humans seem to react rapidly and adapt their motion to guarantee success. Despite the apparent ease and frequency with which we use th ...

EPFL2014

Rewards-Driven Control of Robot Arm by Decoding EEG Signals

Aude Billard, José del Rocio Millán Ruiz, Ajay Kumar Tanwani

Decoding the user intention from non-invasive EEG signals is a challenging problem. In this paper, we study the feasibility of predicting the goal for controlling the robot arm in self-paced reaching movements, i.e., spontaneous movements that do not requi ...

2014

Towards Dynamic Trot Gait Locomotion—Design, Control and Experiments with Cheetah-cub, a Compliant Quadruped Robot

Auke Ijspeert, Massimo Vespignani, Alexander Spröwitz, Mostafa Ajallooeian, Alexandre Tuleu

We present robot design and results from locomotion experiments with a novel, compliant quadruped robot: Cheetah-cub. The robot's leg configuration is based on a spring-loaded, panthograph-mechanism with multiple segments. A dedicated open-loop, joint-spac ...

2013