Individuals living with paralysis or amputation can operate robotic prostheses using input signals based on their intent or attempt to move. Because sensory function is lost or diminished in these individuals, haptic feedback must be non-collocated. The intracortical brain computer interface (iBCI) has enabled a variety of neural prostheses for people with paralysis. An important attribute of the iBCI is that its input signal contains signal-independent noise. To understand the effects of signal-independent noise on a system with non-collocated haptic feedback and inform iBCI-based prostheses control strategies, we conducted an experiment with a conventional haptic interface as a proxy for the iBCI. Able-bodied users were tasked with locating an indentation within a virtual environment using input from their right hand. Non-collocated haptic feedback of the interaction forces in the virtual environment was augmented with noise of three different magnitudes and simultaneously rendered on users' left hands. We found increases in distance error of the guess of the indentation location, mean time per trial, mean peak absolute displacement and speed of tool movements during localization for the highest noise level compared to the other two levels. The findings suggest that users have a threshold of disturbance rejection and that they attempt to increase their signal-to-noise ratio through their exploratory actions.
Task Dynamics of Prior Training Influence Visual Force Estimation Ability During Teleoperation
Stanford University（斯坦福大学）；Palo Alto Veterans Affairs Health Care System（帕洛阿尔托退伍军人事务医疗系统）；Intuitive Surgical, Inc.（直觉外科公司）；Ben-Gurion University of the Negev（内盖夫本-古里安大学）
Adaptive Motion Planning for Multi-fingered Functional Grasp via Force Feedback
School of Information and Communication and Engineering, Dalian University of Technology（大连理工大学信息与通信工程学院）；Shenyang Institute of Automation, Chinese Academy of Sciences（中国科学院沈阳自动化研究所）
LETS: Low-Overhead External-Torque Sensing for Force-Feedback Bilateral Teleoperation
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；Beijing Amigos Robot Technology Co., Ltd.（北京阿米格斯机器人科技有限公司）
Wrist-Squeezing Force Feedback Improves Accuracy and Speed in Robotic Surgery Training
Johns Hopkins University（约翰斯·霍普金斯大学）；Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院）；Max Planck Institute for Intelligent Systems（马克斯·普朗克智能系统研究所）
FOMI: A Force-Feedback Manipulation Interface for Teaching Contact-Rich Manipulation
The Hong Kong University of Science and Technology（香港科技大学）；The University of Hong Kong（香港大学）；Robbyant；Southern University of Science and Technology（南方科技大学）
Technical University of Munich（慕尼黑工业大学）；University of Toronto Institute for Aerospace Studies（多伦多大学航空航天研究所）；University of Toronto Robotics Institute（多伦多大学机器人研究所）；Munich Institute of Robotics and Machine Intelligence（慕尼黑机器人与机器智能研究所）；Vector Institute for Artificial Intelligence（矢量人工智能研究所）
Enhancing Robustness in Robot-Environment Interactions through Passive Compliant Degrees of Freedom: A Hybrid Position-Force Control Approach with Feedback Linearization
Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding
School of Electrical Engineering and Robotics, Queensland University of Technology（昆士兰科技大学电气工程与机器人学院）；Australian Cobotics Centre, Queensland University of Technology（昆士兰科技大学澳大利亚协作机器人中心）；Centre for Robotics, Queensland University of Technology（昆士兰科技大学机器人中心）
Force Push: Robust Single-Point Pushing with Force Feedback
Technical University of Munich（慕尼黑工业大学）；University of Toronto（多伦多大学）；University of Toronto Institute for Aerospace Studies（多伦多大学航空航天研究所）；University of Toronto Robotics Institute（多伦多大学机器人研究所）；Munich Institute of Robotics and Machine Intelligence（慕尼黑机器人与机器智能研究所）；Vector Institute for Artificial Intelligence（向量人工智能研究所）
Input-gated Bilateral Teleoperation: An Easy-to-implement Force Feedback Teleoperation Method for Low-cost Hardware
Research & Development Group, Hitachi, Ltd.（日立株式会社研发部）；Department of Intermedia Art and Science School of Fundamental Science and Engineering, Waseda University（早稻田大学基础科学与工程学部多媒体艺术与科学系）
Learning-based Force Sensing and Impedance Matching for Safe Haptic Feedback in Robot-assisted Laparoscopic Surgery
organization= Surgical Robotics Laboratory (SRL), Mechanical Engineering Department, Concordia University , city= Montreal , state= QC , country= Canada；Robotics (SuPER) Centre, Department of Surgery, McGill University , city= Montreal , state= QC , country= Canada；Joyce Posluns Centre for Image Guided Innovation \& Therapeutic Intervention (PCIGITI), The Hospital for Sick Children (SickKids) , city= Toronto , state= ON , country= Canada
Optimal Robotic Velcro Peeling with Force Feedback
Department of Electrical and Computer Engineering, University of Minnesota（电气与计算机工程系，明尼苏达大学）；Department of Computer Science and Engineering, University of Minnesota（计算机科学与工程系，明尼苏达大学）
Safety-Critical Bilateral Teleoperation for Omnidirectional Aerial Manipulation Using Force-Sensorless Haptic Feedback
Seoul National University（首尔大学）；Automation and System Research Institute (ASRI)（自动化与系统研究所）；Institute of Advanced Aerospace Technology (IAAT)（先进航空航天技术研究所）
CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
Center for Artificial Intelligence and Robotics, Shenzhen International Graduate School, Tsinghua University（人工智能与机器人中心，深圳国际研究生院，清华大学）；PKU-Psibot Joint Lab（北京大学-PsiBot联合实验室）；Department of Advanced Manufacturing, Shenzhen International Graduate School, Tsinghua University（先进制造系，深圳国际研究生院，清华大学）
MagCilia: A Compact Magnetociliary Tactile Sensor with 3D Force Sensing for Robotic Contact Perception and Grasping Feedback
National University of Singapore（新加坡国立大学）；University of California, Berkeley（加州大学伯克利分校）；City University of Hong Kong（香港城市大学）；City University of Hong Kong Shenzhen Research Institute（香港城市大学深圳研究院）
Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model
School of Mechanical Science and Engineering, Huazhong University of Science and Technology（华中科技大学机械科学与工程学院）；State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology（华中科技大学机械科学与工程学院数字制造装备与技术国家重点实验室）
