Self-supervised learning as an enabling technology for future space exploration robots: ISS experiments on monocular distance learning

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Acta Astronautica

• Publication date

  2017-11-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.ACTAASTRO.2017.07.038
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Robust, fast and accurate vision-based localization of a cooperative target used for space robotic arm

  2017cited by this paper
• Autonomous Terrain Classification With Co- and Self-Training Approach

  2016cited by this paper
• Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance

  2016cited by this paper
• An Open Research Facility for Vision‐Based Navigation Onboard the International Space Station

  2016cited by this paper
• Vision-based localization for on-orbit servicing of a partially cooperative satellite

  2015cited by this paper
• Optical flow for self-supervised learning of obstacle appearance

  2015cited by this paper
• On Exploiting Haptic Cues for Self-Supervised Learning of Depth-Based Robot Navigation Affordances

  2015cited by this paper
• Multi-view space object recognition and pose estimation based on kernel regression

  2014cited by this paper
• Graph-tree-based software control flow checking for COTS processors on pico-satellites

  2013cited by this paper
• Vision-based pose estimation for cooperative space objects

  2013cited by this paper
• Real-time adaptive off-road vehicle navigation and terrain classification

  2013influential reference
• Computer vision-based localization and mapping of an unknown, uncooperative and spinning target for spacecraft proximity operations

  2013cited by this paper
• ImageNet classification with deep convolutional neural networks

  2012cited by this paper
• Affordance‐based indirect task communication for astronaut‐robot cooperation

  2012cited by this paper
• Efficient Large-Scale Stereo Matching

  2010cited by this paper
• Learning long‐range vision for autonomous off‐road driving

  2009influential reference
• Overview of the Mars Exploration Rovers ’ Autonomous Mobility and Vision Capabilities

  2007cited by this paper
• Computer Vision on Mars

  2007cited by this paper
• Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation

  2007cited by this paper
• Stanley: The robot that won the DARPA Grand Challenge

  2006cited by this paper
• Adaptive Road Following using Self-Supervised Learning and Reverse Optical Flow

  2005influential reference
• Perceiving distance accurately by a directional process of integrating ground information

  2004cited by this paper
• DLR's robotics technologies for on-orbit servicing

  2004cited by this paper
• Mars exploration rover engineering cameras

  2001cited by this paper
• Sensor-based space robotics-ROTEX and its telerobotic features

  1993cited by this paper

• Technique for Estimating the Parameters of an Ablative Pulsed Plasma Thruster

  2025cites this paper
• Review of Machine Learning in Robotic Grasping Control in Space Application

  2024cites this paper
• Communication area estimation for decentralized control of nanosatellites swarm

  2023cites this paper
• In-orbit target tracking by flyby and formation-flying spacecraft

  2021cites this paper
• Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization

  2020cites this paper
• Astrovirology, Astrobiology, Artificial Intelligence: Extra-Solar System Investigations

  2019cites this paper
• A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors

  2019cites this paper
• Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression

  2019cites this paper
• Fusion of Stereo and Still Monocular Depth Estimates in a Self-Supervised Learning Context

  2018cites this paper
• Learning Long-Range Perception Using Self-Supervision From Short-Range Sensors and Odometry

  2018cites this paper