Humans in 4D: Reconstructing and tracking humans with transformers
We present an approach to reconstruct humans and track them over time. At the core of our
approach, we propose a fully" transformerized" version of a network for human mesh …
approach, we propose a fully" transformerized" version of a network for human mesh …
Language-conditioned path planning
Contact is at the core of robotic manipulation. At times, it is desired (eg manipulation and
grasping), and at times, it is harmful (eg when avoiding obstacles). However, traditional path …
grasping), and at times, it is harmful (eg when avoiding obstacles). However, traditional path …
What is robotics? Why do we need it and how can we get it?
DE Koditschek - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …
technologies are quickly advancing beyond the insights of the existing science. More secure …
Viplanner: Visual semantic imperative learning for local navigation
Real-time path planning in outdoor environments still challenges modern robotic systems
due to differences in terrain traversability, diverse obstacles, and the necessity for fast …
due to differences in terrain traversability, diverse obstacles, and the necessity for fast …
An efficient locally reactive controller for safe navigation in visual teach and repeat missions
M Mattamala, N Chebrolu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
To achieve successful field autonomy, mobile robots need to freely adapt to changes in their
environment. Visual navigation systems such as Visual Teach and Repeat (VT&R) often …
environment. Visual navigation systems such as Visual Teach and Repeat (VT&R) often …
Gg-llm: Geometrically grounding large language models for zero-shot human activity forecasting in human-aware task planning
A robot in a human-centric environment needs to account for the human's intent and future
motion in its task and motion planning to ensure safe and effective operation. This requires …
motion in its task and motion planning to ensure safe and effective operation. This requires …
Log-GPIS-MOP: A unified representation for mapping, odometry, and planning
Whereas dedicated scene representations are required for each different task in
conventional robotic systems, this article demonstrates that a unified representation can be …
conventional robotic systems, this article demonstrates that a unified representation can be …
Orcvio: Object residual constrained visual-inertial odometry
M Shan, Q Feng, N Atanasov - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
Introducing object-level semantic information into simultaneous localization and mapping
(SLAM) system is critical. It not only improves the performance but also enables tasks …
(SLAM) system is critical. It not only improves the performance but also enables tasks …
Autonomous emergency landing for multicopters using deep reinforcement learning
This work presents a pipeline for autonomous emergency landing for multicopters, such as
rotary wing Unmanned Aerial Vehicles (UAVs), using deep Reinforcement Learning (RL) …
rotary wing Unmanned Aerial Vehicles (UAVs), using deep Reinforcement Learning (RL) …
Multi-robot mission planning in dynamic semantic environments
S Kalluraya, GJ Pappas… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper addresses a new semantic multi-robot planning problem in uncertain and
dynamic environments. Particularly, the environment is occupied with mobile and uncertain …
dynamic environments. Particularly, the environment is occupied with mobile and uncertain …