Mentions
Extended reach
Total likes
Video views
AI synopsis
Discussions prominently highlight the hybrid control framework's ability to enhance robotic performance in difficult terrains, as seen in phrases like 'an impressive demonstration' and 'game changer' when referencing the ANYmal robot. The choice of such enthusiastic language, along with specific references to the techniques used, adds to the overall positive sentiment, showcasing both excitement and validation of the publication's contributions to robotics.
The majority of discussions reflect strong support for the ideas presented in the publication, with many users agreeing on the significance of the advancements in legged locomotion control.
There is a notable curiosity surrounding the hybrid control architecture, as many contributors express excitement about its applications in robotics.
While some posts demonstrate deep technical insights, others tend to summarize findings rather than delve into specifics.
Several contributors believe this research will significantly influence the future of robotic navigation and applications in challenging environments.
Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on very complicated collapsed buildings. Two years later its performance is still at the top tier!
DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboticsolutions #leggedrobot #robot #robotdog #ai #reinforcementlearning #armasuisse #ScienceRoboticsResearch #anymal #searchandrescue #ARCHE2023 https://t.co/QkM3PBwNzG
A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improve foot placement and agility on unstructured terrain—and recover from slipping. Read more in @SciRobotics: https://t.co/AKNziAHKu3 https://t.co/u7Lgd2OX1I
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/fkWAr8WDNC https://t.co/WgQ7Pc4SUX
3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accurate and robust locomotion (#ScienceRoboticsResearch, @ETH_en, @ScienceMagazine). Full video: https://t.co/RI0MtxMANr Paper: https://t.co/KOGFn0hepg https://t.co/0GklUKjuG8
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/vTrQqXgiB1 https://t.co/ZuyEwhZkFe
We have combined trajectory optimization and reinforcement learning to enhance legged locomotion control. This hybrid approach improves foot placement accuracy and robustness while navigating diverse terrains…
Explore the frontier of search-and-rescue capabilities of legged robots as ANYmal adapts to challenging terrains. This video highlights the innovative Deep Tracking Control method that enhances locomotion, foot…
@ethzurich #RobotDog #ANYmal https://www.youtube.com/watch?v=_R29DrAx0Xs #robotics
RT @JayHe748646: Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on ve…
RT @JayHe748646: Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on ve…
RT @JayHe748646: Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on ve…
RT @JayHe748646: Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on ve…
RT @JayHe748646: Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on ve…
Exactly 2 years ago during #Arche, my thesis supervisor @FJenelten51897 and I deployed this mpc+rl hybrid controller on very complicated collapsed buildings. Two years later its performance is still at the top tier!
@menlobear This is from one year ago. Let me know when Optimus can do this. https://t.co/Y6mRiyo5a1
関係が入れ子になっても面白い DTC: Deep Tracking Control https://t.co/F7N7onNf5d
RT @iw_toshiki: @leggedrobotics @eth_dmavt @ETH @ETH_en 【四足歩行のハイブリッド制御】 ETH（@ETH）Robotic Systems Lab（@leggedrobotics）の研究者は軌道最適化（TO）と強化学習（RL…
So they have the best motion planning. And perception part is low hanging (https://t.co/890VgJaVDq) And motion tracking is also low hanging (https://t.co/9yP19UeF3W)(don't think BD needs to all-in RL here, so https://t.co/jLJv0G7ggZ)
Replicating this, or something similar, in 18 months. How exactly do questions you ask get “better” as you know more about the subject? https://t.co/ssDXEqGf6D
Technology: ANYmal unleashed: revolutionising search-and-rescue with legged robots (DTC: deep tracking control) View online: https://t.co/LWiRijLAYt #FireandRescueInternational https://t.co/10t0x0alXP
DTC: Deep Tracking Control: Trajectory optimization and reinforcement learning are combined for versatile and robust perceptive legged locomotion. https://t.co/tjWFEZk0mX
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improve foot placement and agility on unstructured terrain—and recover from slipping. Read more in @SciRobotics: https://t.co/AKNziAHKu3 https://t.co/u7Lgd2OX1I
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
RT @ScienceMagazine: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improv…
A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improve foot placement and agility on unstructured terrain—and recover from slipping. Read more in @SciRobotics: https://t.co/m2tL2HKBhI https://t.co/Ikb4fvz8cB
RT @RoboDepot: An impressive demonstration from ETH Zürich of how their quadruped robot uses deep tracking control to maintain stability ov…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in @SciRobotics: https://t.co/xsonBANyxl https://t.co/iCgQzdE95t
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
UMA ARQUITETURA DE CONTROLE HÍBRIDA QUE COMBINA VANTAGENS DOS ATUAIS CONTROLES DE ROBÔS QUADRÚPEDES https://t.co/2wX3iZskup Credibilidade: 999 #Robô A arquitetura dá aos robôs de 4 patas melhores capacidades de locomoção em terrenos acidentados. Veja em: https://t.co/AlSuc4VLcn https://t.co/2i8SxCF6uc
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
RT @leggedrobotics: DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboti…
DTC: Deep Tracking Control - Behind the Scenes video: https://t.co/ZJjXVGd5OY paper: https://t.co/KOGFn0hepg #roboticsolutions #leggedrobot #robot #robotdog #ai #reinforcementlearning #armasuisse #ScienceRoboticsResearch #anymal #searchandrescue #ARCHE2023 https://t.co/QkM3PBwNzG
DTC: Deep Tracking Control https://t.co/smD7sO2FLr via @YouTube
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in @SciRobotics: https://t.co/cLbfqchYec https://t.co/CemRyPtmNy
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @SciRobotics: A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improve fo…
A hybrid control architecture combining reinforcement learning and trajectory optimization let the ANYmal robot improve foot placement and agility on unstructured terrain—and recover from slipping. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/BZ8r8tNr3y https://t.co/osTB6hwcxK
This is sick: https://t.co/75XP7HI4nQ
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/hcUqmGliyZ https://t.co/IXaBdlXgXy
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/fkWAr8WDNC https://t.co/WgQ7Pc4SUX
RT @RoboDepot: An impressive demonstration from ETH Zürich of how their quadruped robot uses deep tracking control to maintain stability ov…
RT @RoboDepot: An impressive demonstration from ETH Zürich of how their quadruped robot uses deep tracking control to maintain stability ov…
RT @RoboDepot: An impressive demonstration from ETH Zürich of how their quadruped robot uses deep tracking control to maintain stability ov…
RT @iw_toshiki: @leggedrobotics @eth_dmavt @ETH @ETH_en 【四足歩行のハイブリッド制御】 ETH（@ETH）Robotic Systems Lab（@leggedrobotics）の研究者は軌道最適化（TO）と強化学習（RL…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @SciRobotics: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfa…
@leggedrobotics @eth_dmavt @ETH @ETH_en 【四足歩行のハイブリッド制御】 ETH（@ETH）Robotic Systems Lab（@leggedrobotics）の研究者は軌道最適化（TO）と強化学習（RL）との組み合わせにより、脚式ロボットの正確でロバストな歩行を実現するハイブリッド制御アーキテクチャを開発。 《DTC: Deep Tracking Control》https://t.co/GyPHpAwILx https://t.co/d3NQQuNdTx https://t.co/dkJekhMUY9
An impressive demonstration from ETH Zürich of how their quadruped robot uses deep tracking control to maintain stability over complex terrain. https://t.co/kgXxFNzrLj #robot #robotics #ai #artificialintelligence #openai #tesla Like, share, and follow for more! https://t.co/7ZE8XKevlx
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @SciRobotics: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfa…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
RT @ScienceMagazine: A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier s…
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/zImvzAdkwB https://t.co/7yj4E6fKu6
A new hybrid control framework helped a four-legged, dog-sized, autonomous #robot called ANYmal move across trickier surfaces. @ETH_en @leggedrobotics Read more in Science #Robotics: https://t.co/vTrQqXgiB1 https://t.co/ZuyEwhZkFe
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
RT @leggedrobotics: 3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accur…
3. In our most recent work, we have combined TO and RL to synthesize a unifying control policy that leads to both accurate and robust locomotion (#ScienceRoboticsResearch, @ETH_en, @ScienceMagazine). Full video: https://t.co/RI0MtxMANr Paper: https://t.co/KOGFn0hepg https://t.co/0GklUKjuG8