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Juan Jimeno
@joemeno
Learning how to make machines walk.
Joined July 2009

Juan Jimeno’s Tweets

#RSJ2022 で強化学習による歩様生成について先輩が発表します!SDK の High Level コマンドではなく、自前の歩様です。 4日目 9/8(木) PM1「多脚歩行ロボット」セッション、講演番号 4E2-03。 吉田 智章, 入江 清, 原 祥尭, 鈴木 太郎, 友納 正裕, "Sim-to-Real 転移を用いた四脚ロボットの歩容生成"
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This demo uses an existing RVR robot package spawned with Linorobot’s bringup package. Once IMU and odom topics are matched, all Linorbot’s exisiting features can be used. Hopefully, users find this useful for integrating/prototyping new ROS2 based robots.
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Gripping to see more language models used in robotics. Robots could only do much with explicitly programmed behaviors
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How can robots perform a wide variety of novel tasks from natural language? Execited to present Code as Policies - using language models to directly write robot policy code from language instructions. See paper, colabs, blog, and demos at code-as-policies.github.io long 🧵👇
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Today we're launching the Farama Foundation, a new nonprofit dedicated to open source reinforcement learning, and we're beginning by maintaining and standardizing all the major open source reinforcement learning environments. Read more here:
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Excited to see this approach replace the more traditional object / instance detection approach. Helps predict samples from high dimensional distributions.
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📢Introducing Pix2Seq-D, a generalist framework casting panoptic segmentation as a discrete data generation task conditioned on pixels. Works for both images and videos, with minimal task engineering. arxiv.org/abs/2210.06366 work w/ Lala Li, @srbhsxn @geoffreyhinton @fleet_dj
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Watching this CVPR talk on Occupancy Networks excites me so much. The amount of online perception for spatial reasoning is just nuts.
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Presented some of the recent work from the Tesla Autopilot team at CVPR this year, especially about "Occupancy Networks" - our approach to solve general obstacle detection and using it to enable sophisticated collision avoidance. Full talk here: youtu.be/jPCV4GKX9Dw (1/12)
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Can a quadruped perform agile and dynamic locomotion with fast and precise manipulation (like ball interception) skills? We create a robotic goalkeeper using Mini Cheetah with deep RL and it shows an 87.5% goal save ratio! More details can be found in our recent paper and video.
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