Work in progress

Robotics

Developing software for autonomous indoor traversal with quadrupedal robotic systems

Home/Projects/Robotics

Problem & Impact

Developing software systems for autonomous traversal with quadrupedal robots in complex indoor environments. The project focuses on advanced perception algorithms for object tracking and scene understanding, enabling these legged robots to navigate dynamically through challenging indoor spaces with sophisticated perception.

Tech Stack

Python
ROS
PyTorch
C++

Key Features

  • Autonomous room traversal software for quadrupedal robotic systems
  • Advanced perception algorithms for object tracking and scene understanding

Timeline

Start Date

January 2026

Current Phase

Project planning and setup

Upcoming Milestones

  • Quadrupedal robotic platform setup and integration
  • Development of perception algorithms for object tracking and scene understanding
  • Testing and validation in indoor environments

Affiliations

KTH AI Society

Maintenance & Deployment

Active development and maintenance by KTH AI Society robotics team

Contributors

NL

Niklas Lindkvist

Researcher

HP

Harshit Poddar

Researcher

MB

Mattie Ball

Researcher