Papers Industrial Robots
“Industrial Robots” 태그가 달린 논문 61편 · 필터 해제
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
Accurate inverse dynamics models are essential tools for controlling industrial robots. Recent research combines neural network regression with inverse dynamics formulations of the Newton-Euler and the Euler-Lagrange equ…
Industrial RobotsregressionSLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
Building capable household and industrial robots requires mastering the control of versatile, high-degree-of-freedom (DoF) systems such as mobile manipulators. While reinforcement learning (RL) holds promise for autonomo…
DisentanglementIndustrial RobotsReinforcement Learning (RL)Safe ExplorationNon-planar Object Detection and Identification by Features Matching and Triangulation Growth
Object detection and identification is surely a fundamental topic in the computer vision field; it plays a crucial role in many applications such as object tracking, industrial robots control, image retrieval, etc. We pr…
Image RetrievalIndustrial Robotsobject-detectionObject Detection+1Latent Representations for Visual Proprioception in Inexpensive Robots
Robotic manipulation requires explicit or implicit knowledge of the robot's joint positions. Precise proprioception is standard in high-quality industrial robots but is often unavailable in inexpensive robots operating i…
Industrial RobotsAI-based Framework for Robust Model-Based Connector Mating in Robotic Wire Harness Installation
Despite the widespread adoption of industrial robots in automotive assembly, wire harness installation remains a largely manual process, as it requires precise and flexible manipulation. To address this challenge, we des…
Industrial RobotsMRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration
A high-fidelity digital simulation environment is crucial for accurately replicating physical operational processes. However, inconsistencies between simulation and physical environments result in low confidence in simul…
Industrial RobotsPoint Cloud RegistrationPoint Cloud SegmentationScene GenerationOverview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks has emerged as a transformative paradigm. …
Industrial RobotsIntelligent CommunicationSemantic CommunicationCapacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach
Many real-world sequential repair problems can be effectively modeled using monotonic Markov Decision Processes (MDPs), where the system state stochastically decreases and can only be increased by performing a restorativ…
Industrial RobotsSchedulingKiloBot: A Programming Language for Deploying Perception-Guided Industrial Manipulators at Scale
We would like industrial robots to handle unstructured environments with cameras and perception pipelines. In contrast to traditional industrial robots that replay offline-crafted trajectories, online behavior planning i…
Industrial RobotsMotion PlanningTask and Motion PlanningVoxDepth: Rectification of Depth Images on Edge Devices
Autonomous mobile robots like self-flying drones and industrial robots heavily depend on depth images to perform tasks such as 3D reconstruction and visual SLAM. However, the presence of inaccuracies in these depth image…
3D ReconstructionIndustrial RobotsFederated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks
Recently, 6G in-X subnetworks have been proposed as low-power short-range radio cells to support localized extreme wireless connectivity inside entities such as industrial robots, vehicles, and the human body. Deployment…
Industrial RobotsManagementUniform vs. Lognormal Kinematics in Robots: Perceptual Preferences for Robotic Movements
Collaborative robots or cobots interact with humans in a common work environment. In cobots, one under investigated but important issue is related to their movement and how it is perceived by humans. This paper tries to …
Industrial RobotsAdvancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
The market for domestic robots made to perform household chores is growing as these robots relieve people of everyday responsibilities. Domestic robots are generally welcomed for their role in easing human labor, in cont…
Deep Reinforcement LearningIndustrial Robotsreinforcement-learningReinforcement LearningBANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic Programming
Over the past decade, deep learning helped solve manipulation problems across all domains of robotics. At the same time, industrial robots continue to be programmed overwhelmingly using traditional program representation…
Industrial RobotsProgram SynthesisWarped Time Series Anomaly Detection
This paper addresses the problem of detecting time series outliers, focusing on systems with repetitive behavior, such as industrial robots operating on production lines.Notable challenges arise from the fact that a task…
Anomaly DetectionDynamic Time WarpingGPUIndustrial Robots+2LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System
Embodied intelligence (EI) enables manufacturing systems to flexibly perceive, reason, adapt, and operate within dynamic shop floor environments. In smart manufacturing, a representative EI scenario is robotic visual ins…
Autonomous DrivingContinual LearningIndustrial RobotsSemantic SegmentationRoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboGrind, an integrated system for the intui…
Industrial RobotsDomain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts. We propose a natural language-based assistant for programming of advanced, indu…
Industrial RobotsMPI Planar Correction of Pulse Based ToF Cameras
Time-of-Flight (ToF) cameras are becoming popular in a wide span of areas ranging from consumer-grade electronic devices to safety-critical industrial robots. This is mainly due to their high frame rate, relative good pr…
Industrial RobotsStudy and Survey on Gesture Recognition Systems
In recent years, there has been a considerable amount of research in the Gesture Recognition domain, mainly owing to the technological advancements in Computer Vision. Various new applications have been conceptualised an…
Gesture RecognitionIndustrial RobotsSurvey