ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.03724
  4. Cited By
Exploration-RRT: A multi-objective Path Planning and Exploration
  Framework for Unknown and Unstructured Environments

Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments

8 April 2021
B. Lindqvist
Ali-akbar Agha-mohammadi
G. Nikolakopoulos
ArXivPDFHTML

Papers citing "Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments"

4 / 4 papers shown
Title
Information Gain Is Not All You Need
Information Gain Is Not All You Need
Ludvig Ericson
José Pedro
Patric Jensfelt
33
0
0
28 Mar 2025
Time-Varying Soft-Maximum Barrier Functions for Safety in Unmapped and Dynamic Environments
Time-Varying Soft-Maximum Barrier Functions for Safety in Unmapped and Dynamic Environments
Amirsaeid Safari
Jesse B. Hoagg
48
5
0
02 Sep 2024
Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap
Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap
Kai Chen
Haichao Liu
Yuling Li
Jianghua Duan
Lei Zhu
Jun Ma
31
3
0
18 Mar 2024
Towards Energy Efficient Autonomous Exploration of Mars Lava Tube with a
  Martian Coaxial Quadrotor
Towards Energy Efficient Autonomous Exploration of Mars Lava Tube with a Martian Coaxial Quadrotor
Akash Patel
Stefan Karlsson
B. Lindqvist
Christoforos Kanellakis
Ali Akbar Agha Mohammadi
G. Nikolakopoulos
32
10
0
13 Nov 2022
1