• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

IEEE Robotics & Automation Magazine

  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

Planning

Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers

June 24, 2024 by Reiya Takemura, Genya Ishigami

In an extreme environment, such as Mars or a volcanic area, mobile robots have been used in scientific missions, or as precursors for a future manned mission. The robot called a planetary exploration rover is managed by a space-qualified, radiation-hardened, and low-clock onboard computer, and autonomously travels over challenging terrain. For more about this … [Read more...] about Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics

June 24, 2024 by J. I. Delgado-Centeno, P. Harder, V. Bickel, B. Moseley, F. Kalaitzis, S. Ganju, M. A. Olivares-Mendez, M. A. Olivares-Mendez

Lunar exploration missions require detailed and accurate planning to ensure their safety. Remote sensing data, such as optical satellite imagery acquired by lunar orbiters, are key for the identification of future landing and mission sites. Here robot- and astronaut-scale obstacles are the most relevant to resolve; however, the spatial resolution of the available image data is … [Read more...] about Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics

Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture

April 5, 2024 by Elisa Tosello, Paolo Bonel, Alberto Buranello, Marco Carraro, Alessandro Cimatti, Lorenzo Granelli, Stefan Panjkovic, Andrea Micheli

Robots are increasingly used in subsea environments because of their positive impact on human safety and operational capabilities in the deep ocean. However, achieving full autonomy remains challenging because of the extreme conditions they encounter. In this context, we propose an autonomous underwater architecture for long-term deep-ocean inspection that robustly plans … [Read more...] about Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture

« Previous Page

Primary Sidebar

Current Issue

Get the entire issue now.

 

About the Magazine

IEEE Robotics & Automation Magazine (RAM) has over 14,000 readers who are the people who drive this remarkable technology. More than half work in basic research and many of the others are top level engineers and decision-makers in industry.  This magazine highlights new concepts in Robotics and Automation that are applied to real-world systems. It delivers tutorial and survey papers by distinguished experts in the field, organizes focused special issues on hot topics, and provides a forum for disseminating and discussing emerging trends, novel achievements, and selected news relevant to the development of the whole community active in these fields worldwide.

Past Issues

Search

Footer

LINKS

Home | Contact IEEE | Accessibility |
Nondiscrimination  Policy | IEEE Ethics Reporting | Terms & Disclosures| IEEE Privacy Policy

© Copyright 2025 IEEE – All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

ABOUT US

IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.