Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Scientists have developed a neural network-based planning framework that enables robots to navigate complex environments and mazes autonomously. Learn more in Science Robotics:

ScienceMagazine's profile picture

Science Magazine

4,446,053 subscribers

25,783 Aufrufe • vor 11 Monaten •via X (Twitter)

Wissenschaft & TechnologieNachrichten & Politik
LIVE

Anya Rossi• Live Now

Private livecam show

5 Kommentare

Profilbild von Isaac
Isaacvor 11 Monaten

@SciRobotics @ScienceMagazine Nature solved maze navigation millions of years ago - slime molds can find optimal paths through labyrinths using distributed intelligence. Now our robots are finally catching up to what Physarum polycephalum mastered through evolution.

Profilbild von The New Mocha Joe
The New Mocha Joevor 11 Monaten

@SciRobotics We're fckd

Profilbild von WhaleX
WhaleXvor 11 Monaten

@SciRobotics "Scientists are revolutionizing robotics with neural network-based planning, allowing robots to navigate complex environments autonomously."

Profilbild von Mobile Scanner
Mobile Scannervor 11 Monaten

Scan any documents, convert images into text, PDF files, etc. 👍

Profilbild von Rad Chad
Rad Chadvor 11 Monaten

@SciRobotics Hasn’t this been done before? The Micromouse competition comes to mind

Ähnliche Videos

Scientists have developed SUPER, an autonomous drone that can navigate unknown and cluttered environments safely, which could help future search and rescue efforts. Learn more in Science Robotics:
1:05

Scientists have developed SUPER, an autonomous drone that can navigate unknown and cluttered environments safely, which could help future search and rescue efforts. Learn more in Science Robotics:

Science Magazine

46,125 Aufrufe • vor 1 Jahr

Scientists have designed a framework that enables a humanoid robot face to produce realistic lip-audio synchronization across 12 different languages, including English, Russian, Korean, and Arabic. Learn more in Science Robotics:
1:16

Scientists have designed a framework that enables a humanoid robot face to produce realistic lip-audio synchronization across 12 different languages, including English, Russian, Korean, and Arabic. Learn more in Science Robotics:

Science Magazine

29,490 Aufrufe • vor 4 Monaten

Scientists have developed a rollable robotic structure that is flexible enough to collapse into a compact hub like a tape measure, but also stiff enough to bear heavy loads like 3D printers when extended. Learn more in Science #Robotics:
0:58

Scientists have developed a rollable robotic structure that is flexible enough to collapse into a compact hub like a tape measure, but also stiff enough to bear heavy loads like 3D printers when extended. Learn more in Science #Robotics:

Science Robotics

54,780 Aufrufe • vor 6 Monaten

This is how Amazon delivery bot will ring your doorbell. It is done by leveraging the same loco-manipulation framework that enables humanoid robots to move boxes, developed by Amazon's Frontier AI & Robotics team.
0:29

This is how Amazon delivery bot will ring your doorbell. It is done by leveraging the same loco-manipulation framework that enables humanoid robots to move boxes, developed by Amazon's Frontier AI & Robotics team.

The Humanoid Hub

196,178 Aufrufe • vor 8 Monaten

Motion planning in complex tasks is hard and still done via slow, explicit, traditional planners. We present a generalist Neural Motion Planner -- a single neural network that plans complex dynamic motions quickly and accurately at test time. Building upon our lab's sim2real efforts, the key idea is to create many complex scenes in simulation and then distill classical motion planner trajectories into a single reactive neural network policy. More details in the thread below! 👇 Open-sourced:
0:25

Motion planning in complex tasks is hard and still done via slow, explicit, traditional planners. We present a generalist Neural Motion Planner -- a single neural network that plans complex dynamic motions quickly and accurately at test time. Building upon our lab's sim2real efforts, the key idea is to create many complex scenes in simulation and then distill classical motion planner trajectories into a single reactive neural network policy. More details in the thread below! 👇 Open-sourced:

Deepak Pathak

28,642 Aufrufe • vor 1 Jahr

San Mateo, California–based Generalist showcases their real-time, end-to-end neural network that controls robots at 100Hz for dexterous manipulation tasks. The model handles fine-motor control, bi-manual coordination, tool use, and generalization across arms and environments.
2:21

San Mateo, California–based Generalist showcases their real-time, end-to-end neural network that controls robots at 100Hz for dexterous manipulation tasks. The model handles fine-motor control, bi-manual coordination, tool use, and generalization across arms and environments.

The Humanoid Hub

42,524 Aufrufe • vor 1 Jahr

Google DeepMind introduces Gemini Robotics 1.5, enabling robots to perceive, plan, think, use tools, and act on complex tasks. The agentic framework comprises: ⦿ Gemini Robotics-ER 1.5 (VLM): Orchestrates high-level embodied reasoning and planning. ⦿ Gemini Robotics 1.5 (VLA): Converts visuals and instructions provided by ER 1.5 into actions.
1:42

Google DeepMind introduces Gemini Robotics 1.5, enabling robots to perceive, plan, think, use tools, and act on complex tasks. The agentic framework comprises: ⦿ Gemini Robotics-ER 1.5 (VLM): Orchestrates high-level embodied reasoning and planning. ⦿ Gemini Robotics 1.5 (VLA): Converts visuals and instructions provided by ER 1.5 into actions.

The Humanoid Hub

65,928 Aufrufe • vor 8 Monaten

Training a Whole-Body Control Foundation Model -- new work from my team at Agility Robotics A neural network for controlling our humanoid robots which is robust to disturbances, can handle heavy objects, and is a powerful platform for learning new whole-body skills learn more in our blog post ->
1:56

Training a Whole-Body Control Foundation Model -- new work from my team at Agility Robotics A neural network for controlling our humanoid robots which is robust to disturbances, can handle heavy objects, and is a powerful platform for learning new whole-body skills learn more in our blog post ->

Chris Paxton

45,068 Aufrufe • vor 9 Monaten

New paper introduces NaVILA, a vision-language-action (VLA) model that integrates high-level visual-language understanding and low-level locomotion control. It enables humanoid or quadruped robots to navigate unseen environments with natural language instructions.
0:45

New paper introduces NaVILA, a vision-language-action (VLA) model that integrates high-level visual-language understanding and low-level locomotion control. It enables humanoid or quadruped robots to navigate unseen environments with natural language instructions.

The Humanoid Hub

20,430 Aufrufe • vor 1 Jahr

Hopfield recall Spiking Neural network now this one is cool isn't it? -open source, link in comment- This is a Spiking Neural Network (SNN) that can learn and recall patterns through Hebbian learning, similar to a Hopfield network but using biologically-inspired spiking dynamics rather than energy-based settling.
1:07

Hopfield recall Spiking Neural network now this one is cool isn't it? -open source, link in comment- This is a Spiking Neural Network (SNN) that can learn and recall patterns through Hebbian learning, similar to a Hopfield network but using biologically-inspired spiking dynamics rather than energy-based settling.

echo.hive

31,452 Aufrufe • vor 5 Monaten

The most frustrating part of imitation learning is collecting huge amounts of teleop data. But why teleop robots when robots can learn by watching us? Introducing Point Policy, a novel framework that enables robots to learn from human videos without any teleop, sim2real, or RL.
0:40

The most frustrating part of imitation learning is collecting huge amounts of teleop data. But why teleop robots when robots can learn by watching us? Introducing Point Policy, a novel framework that enables robots to learn from human videos without any teleop, sim2real, or RL.

Siddhant Haldar

69,031 Aufrufe • vor 1 Jahr

This particle-armored blob robot oozes and tumbles in ways that rigid robots can’t. Learn more in Science Advances:
0:54

This particle-armored blob robot oozes and tumbles in ways that rigid robots can’t. Learn more in Science Advances:

Science Magazine

36,117 Aufrufe • vor 1 Jahr

Implemented a visualization for the neural network today. This is a neural network being trained to learn the snake game in a terminal. It's built in Rust using Ratatui More input details in thread
1:00

Implemented a visualization for the neural network today. This is a neural network being trained to learn the snake game in a terminal. It's built in Rust using Ratatui More input details in thread

Bones

165,655 Aufrufe • vor 2 Jahren

Using 3D knitting 🧶, scientists have developed soft actuators for extension, contraction, and bending. These motions are useful in applications such as grippers, lifters, and inspection robots like this one 👇 Vanessa Sanchez Wyss Institute Learn more:
0:41

Using 3D knitting 🧶, scientists have developed soft actuators for extension, contraction, and bending. These motions are useful in applications such as grippers, lifters, and inspection robots like this one 👇 Vanessa Sanchez Wyss Institute Learn more:

Advanced Portfolio News

30,624 Aufrufe • vor 3 Jahren

Northwestern University researchers developed modular robots using AI that can adapt to damage and navigate unpredictable terrain, according to a new study
0:55

Northwestern University researchers developed modular robots using AI that can adapt to damage and navigate unpredictable terrain, according to a new study

Reuters

3,834,936 Aufrufe • vor 2 Monaten

Agility Robotics is focusing on warehouse logistics. They'll be competing with wheeled bimanual robots that are highly efficient in pick-and-place tasks. One example is Reflex Robotics, a NY-based startup that recently partnered with GXO to deploy robots in warehouses.
1:11

Agility Robotics is focusing on warehouse logistics. They'll be competing with wheeled bimanual robots that are highly efficient in pick-and-place tasks. One example is Reflex Robotics, a NY-based startup that recently partnered with GXO to deploy robots in warehouses.

The Humanoid Hub

36,203 Aufrufe • vor 1 Jahr

Studying mice and samples from patients, scientists have identified a microRNA-based mechanism that drives atherosclerosis by weakening the integrity of blood vessel walls. Read more in Science Translational Medicine:
0:40

Studying mice and samples from patients, scientists have identified a microRNA-based mechanism that drives atherosclerosis by weakening the integrity of blood vessel walls. Read more in Science Translational Medicine:

Science Magazine

31,557 Aufrufe • vor 2 Jahren