Rvt: Robotic view transformer for 3d object manipulation
For 3D object manipulation, methods that build an explicit 3D representation perform better
than those relying only on camera images. But using explicit 3D representations like voxels …
than those relying only on camera images. But using explicit 3D representations like voxels …
Fastrlap: A system for learning high-speed driving via deep rl and autonomous practicing
We present a system that enables an autonomous small-scale RC car to drive aggressively
from visual observations using reinforcement learning (RL). Our system, FastRLAP, trains …
from visual observations using reinforcement learning (RL). Our system, FastRLAP, trains …
One-4-all: Neural potential fields for embodied navigation
S Morin, M Saavedra-Ruiz… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
A fundamental task in robotics is to navigate between two locations. In particular, real-world
navigation can require long-horizon planning using high-dimensional RGB images, which …
navigation can require long-horizon planning using high-dimensional RGB images, which …
Fastrlap: A system for learning high-speed driving via deep rl and autonomous practicing
We present a system that enables an autonomous small-scale rally car to drive at high
speed from only image observations using reinforcement learning. Our method trains …
speed from only image observations using reinforcement learning. Our method trains …
Visual Semantic Navigation with Real Robots
C Gutiérrez-Álvarez, P Ríos-Navarro… - arXiv preprint arXiv …, 2023 - arxiv.org
Visual Semantic Navigation (VSN) is the ability of a robot to learn visual semantic
information for navigating in unseen environments. These VSN models are typically tested in …
information for navigating in unseen environments. These VSN models are typically tested in …
Learning Speed Adaptation for Flight in Clutter
Animals learn to adapt speed of their movements to their capabilities and the environment
they observe. Mobile robots should also demonstrate this ability to trade-off aggressiveness …
they observe. Mobile robots should also demonstrate this ability to trade-off aggressiveness …
Learning Agility Adaptation for Flight in Clutter
Animals learn to adapt agility of their movements to their capabilities and the environment
they operate in. Mobile robots should also demonstrate this ability to combine agility and …
they operate in. Mobile robots should also demonstrate this ability to combine agility and …
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Embodied visual tracking is to follow a target object in dynamic 3D environments using an
agent's egocentric vision. This is a vital and challenging skill for embodied agents. However …
agent's egocentric vision. This is a vital and challenging skill for embodied agents. However …
SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation
Although visual navigation has been extensively studied using deep reinforcement learning,
online learning for real-world robots remains a challenging task. Recent work directly …
online learning for real-world robots remains a challenging task. Recent work directly …
Risk-Sensitive Mobile Robot Navigation in Crowded Environment via Offline Reinforcement Learning
Mobile robot navigation in a human-populated environment has been of great interest to the
research community in recent years, referred to as crowd navigation. Currently, offline …
research community in recent years, referred to as crowd navigation. Currently, offline …