Alternatives and similar repositories for UPEN

Users that are interested in UPEN are comparing it to the libraries listed below

• siyandong / NeuralCoMapping
  [CVPR 2022] Multi-Robot Active Mapping via Neural Bipartite Graph Matching.
  ☆90Updated 2 years ago
• TempleRAIL / SOGMP
  [CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes
  ☆33Updated 3 months ago
• ethz-asl / active_learning_for_segmentation
  ☆20Updated 2 years ago
• ethz-asl / cvae_exploration_planning
  Learning informed sampling distributions and information gains for efficient exploration planning.
  ☆53Updated 2 years ago
• efc-robot / TopoExplore
  ☆27Updated 3 years ago
• jingGM / DTG
  ☆46Updated 9 months ago
• arajv / SayNav
  Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
  ☆36Updated 5 months ago
• aislabunimi / ROSE2
  Robust structure identification and room segmentation of cluttered indoor environments from occupancy grid maps
  ☆20Updated 2 years ago
• ybgdgh / Frontier-Semantic-Exploration
  ☆42Updated 2 years ago
• sepsamavi / safe-interactive-crowdnav
  Code base for SICNav T-RO paper and SICNav-Diffusion RA-L paper
  ☆67Updated 3 months ago
• ZJU-FAST-Lab / OPNet
  Learning Unknown Space for Autonomous Navigation in Clustered Environment
  ☆66Updated 4 years ago
• dmar-bonn / aipp-survey
  Survey on robotic learning for adaptive informative path planning
  ☆21Updated last year
• ExistentialRobotics / SSMI
  Active Multi-class Mapping using Semantic Shannon Mutual Information (SSMI)
  ☆106Updated 2 months ago
• gonultasbu / ICRA2022PaperList
  This repository lists all papers presented in ICRA 2022.
  ☆64Updated 2 years ago
• mhnazeri / VANP
  PyTorch implementation of "Learning Where to See for Navigation: A Self-Supervised Vision-Action Pre-Training Approach"
  ☆19Updated last year
• marmotlab / HDPlanner_Exp_and_Nav
  [RA-L 2025] HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks - - Public code an…
  ☆25Updated 5 months ago
• Robotics-STAR-Lab / ApexNav
  [RA-L'25] An Reliable and Efficient Framework for Zero-Shot Object Navigation
  ☆185Updated 3 weeks ago
• MIT-TESSE / dsg-rl
  ☆29Updated 3 years ago
• ybgdgh / Co-NavGPT
  We proposed to explore and search for the target in unknown environment based on Large Language Model for multi-robot system.
  ☆90Updated last year
• ai4ce / DeepExplorer
  [RSS2023] Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
  ☆32Updated last year
• marmotlab / MARVEL
  [ICRA2025] MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
  ☆28Updated 6 months ago
• KTH-RPL / OneMap
  [ICRA'25] One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation
  ☆106Updated last month
• uzh-rpg / foresight-nav
  [CVPR Workshop 2025 - OpenSun3D] ForesightNav: Learning Scene Imagination for Efficient Exploration
  ☆57Updated 6 months ago
• HKUST-Aerial-Robotics / PredRecon
  [ICRA'23] A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction
  ☆198Updated 3 months ago
• TJU-Aerial-Robotics / YOPO-Rally
  A Sim-to-Real Single-Stage Planner for Off-Road Terrain
  ☆26Updated 4 months ago
• marmotlab / IR2-Multi-Robot-RL-Exploration
  [IROS2024] Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
  ☆54Updated last month
• CAST-Robotics / ICRA-2023-review
  A review of papers presented at ICRA 2023, showcases the latest research and innovations in the field of robotics and automation.
  ☆123Updated 2 years ago
• tyuezhan / SEER
  SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
  ☆66Updated last year
• ethz-mrl / semantic-exploration-icra-2023
  Code for the ICRA 2023 paper “Finding Things in the Unknown: Semantic Object-Centric Exploration with an MAV”
  ☆47Updated last year
• ethz-asl / ssc_exploration
  Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
  ☆107Updated last year