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Robot Assistance Primitives with Force-Field Guidance for Shared Task Collaboration

https://doi.org/10.2139/ssrn.4889220
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SSD: Single Shot MultiBox Detector
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Fast R-CNN
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YOLACT: Real-Time Instance Segmentation
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A depth space approach to human-robot collision avoidance
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Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/iros.2012.6385900openalex-snapshot
Spatial programming for industrial robots based on gestures and Augmented Reality
inferredcites →https://doi.org/10.1109/iros.2014.6942976openalex-snapshot
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inferredcites →https://doi.org/10.1109/iros.2016.7759151openalex-snapshot
Hybrid force/velocity control for physical human-robot collaboration tasks
inferredcites →https://doi.org/10.1109/iros.2017.8206225openalex-snapshot
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inferredcites →https://doi.org/10.1109/iros45743.2020.9341248openalex-snapshot
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inferredcites →https://doi.org/10.1109/tcyb.2021.3107357openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmech.2013.2264533openalex-snapshot
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inferredcites →https://doi.org/10.1109/tro.2016.2572698openalex-snapshot
A Model for Human–Human Collaborative Object Manipulation and Its Application to Human–Robot Interaction
inferredcites →https://doi.org/10.1109/tro.2017.2723903openalex-snapshot
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Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
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Motion planning efficient trajectories for industrial bin-picking
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Randomized path planning on vector fields
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A variable admittance control strategy for stable physical human–robot interaction
inferredcites →https://doi.org/10.1177/027836498600500106openalex-snapshot
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
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Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators
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Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Learning Transferable Visual Models From Natural Language Supervision
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On the Opportunities and Risks of Foundation Models
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