Tagged | robotics
-
Pathdreamer: A World Model for Indoor Navigation
(ai.googleblog.com) -
Presentation: Data-driven Development in the Automotive Field
(www.infoq.com) -
Learning an Accurate Physics Simulator via Adversarial Reinforcement Learning
(ai.googleblog.com) -
The Importance of A/B Testing in Robotics
(ai.googleblog.com) -
Toward Generalized Sim-to-Real Transfer for Robot Learning
(ai.googleblog.com) -
Learning to Manipulate Deformable Objects
(ai.googleblog.com) -
Multi-Task Robotic Reinforcement Learning at Scale
(ai.googleblog.com) -
Real-time Robotics Control in the Lean Language
(galois.com) -
Exploring Evolutionary Meta-Learning in Robotics
(ai.googleblog.com) -
Exploring Nature-Inspired Robot Agility
(ai.googleblog.com) -
Visual Transfer Learning for Robotic Manipulation
(ai.googleblog.com) -
Learning to Assemble and to Generalize from Self-Supervised Disassembly
(ai.googleblog.com) -
Deep Reinforcement Learning for Drones in 3D realistic environments
(towardsdatascience.com) -
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
(ai.googleblog.com) -
Article: Using Java to Orchestrate Robot Swarms
(www.infoq.com) -
Autonomous Driving: Intro into SLAM
(towardsdatascience.com) -
Podcast: Louise Poubel on the Robotic Operating System
(www.infoq.com)#software-architecture #embedded #systems #robotics #podcast
-
Presentation: From Robot Simulation to the Real World
(www.infoq.com) -
Introducing PyRobot: How Facebook is Democratizing Robotics Programming Using Deep Learning
(towardsdatascience.com) -
Unifying Physics and Deep Learning with TossingBot
(ai.googleblog.com) -
Long-Range Robotic Navigation via Automated Reinforcement Learning
(ai.googleblog.com) -
Soft Actor-Critic: Deep Reinforcement Learning for Robotics
(ai.googleblog.com) -
Real-time Linux communications
(hackernoon.com) -
Towards a distributed and real-time framework for robots
(hackernoon.com) -
NVIDIA Jetson Xavier Opens New Era of AI in Robotics
(devblogs.nvidia.com) -
Teaching Uncalibrated Robots to Visually Self-Adapt
(ai.googleblog.com) -
Introducing the Hardware Robot Information Model (HRIM)
(hackernoon.com) -
Closing the Simulation-to-Reality Gap for Deep Robotic Learning
(research.googleblog.com) -
How a robot finds its location based on what it ‘sees’
(code.oursky.com)