Valerio Modugno (@Valerio_Modugno) profile picture

# Associate Lecturer in #Robotics and #MachineLearning at University College London

Rome, Lazio
Joined July 2017
We are thrilled to invite you to the biggest exhibition at a Humanoids conference so far: we have 30 exhibitors, with even more robots! 2024.ieee-humanoids.org/cont…
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Check out the updated program of the #HUMANOIDS2024 conference. Super rich program, with exhibition and competition on top of oral and poster sessions. And many social events too!
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We are grateful to our amazing sponsors, for helping us in giving you the best conference experience!
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Valerio Modugno retweeted
The exhibition area at @HumanoidsConf will be very awesome!
The exhibition area is getting crowded!! We are getting close to the limit, soon we will have to reduce the competition area 🤩😱🤖 If you want a booth at the exhibition, please hurry up and fill out the sponsor & exhibition form: forms.gle/WKS7vaneafH4VyJN9
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We are preparing a very rich program for HUMANOIDS 2024! Oral & poster sessions, but also an industrial exhibition, 2 robotics competitions, social events every night, and a lot of outreach activities for children, teens and the general public.
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Valerio Modugno retweeted
Have you seen @UCLEast with the robot's eyes? Here it is ANYmal exploring the two buildings OPS and Marshgate, using its lidar sensor. @UKRI_News FLF RoboHike team: Dimitrios Kanoulas, Jianhao Jiao, Sebastian Aegidius, Valerio Modugno
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Detection of cracks by drones! 🛸 The use of drones and 3D reconstruction allows for efficient and detailed inspections of bridges, providing accurate and repeatable information on their structural condition. Engineers and asset owners can better understand a structure's health by detecting cracks and efflorescence. Compared to traditional inspection methods, this technology can also save time and resources. Accurate data collection is essential for tracking changes over time and making informed decisions about the structure's maintenance. ~~~ ♻️ RT to help 1 robot find a new workplace.
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Learn the differences between motion profiles! 💨 Every robotic arm, every legged robot has actuators that make it move! 🦾 Let's compare two motion profiles: rectangular and trapezoid. A rectangular motion profile is like a car with abrupt starts and stops, ideal for situations requiring speed. 🚙 Trapezoid motion profiles offer a smoother ride, perfect for scenarios where precision and smoothness are essential (@MabRobotics , I love the way you illustrated the difference!). P.S. Can you name different applications for these two motion profiles in robotics? ~~~ ♻️ RT to help 1 robot find a new workplace.
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Valerio Modugno retweeted
It's also inspired by @BostonDynamics 's awesome works. The key question is -- to which extent we need model-based methods for motion synthesis, when #RL may support robust and versatile control w/ efficient computation? Another work for this Question: arxiv.org/abs/2311.10484
🚨 Without Any Motion Priors, how to make humanoids do versatile parkour jumping🦘, clapping dance🤸, cliff traversal🧗, and box pick-and-move📦 with a unified RL framework? Introduce WoCoCo: 🧗 Whole-body humanoid Control with sequential Contacts 🎯Unified designs for minimal tuning across tasks 🤖Generalize to various high-DoF robots Website: lecar-lab.github.io/wococo/
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Valerio Modugno retweeted
Monte Carlo integration approximates integrals at a rate of 1/sqrt(n), independent of the dimension. en.wikipedia.org/wiki/Monte_…
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Oggi ci sono almeno 50 trial clinici dove si stanno sperimentano vaccini a mRNA personalizzati per combattere vari tipi di tumore. La stessa tecnologia a mRNA che abbiamo usato contro il Covid. What a time to be alive
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Valerio Modugno retweeted
Filed testing our @ucl @anybotics robot at @denbiesvineyard. #UKRI FLF RoboHike
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Après plusieurs jours de travail, place aux démos 🤖 @serena_ivaldi @jb_mouret @Inria @zatinzebox @euROBIN_project #robotique #téleopération
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Valerio Modugno retweeted
At @ucl (Intelligent Robotics group) we designed a new MEng programme in Robotics & AI to be current, highly educational, and fun! The first cohort designed tree climbing robots, they competed, and it was really fun!!! More info: ucl.ac.uk/prospective-studen…
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Valerio Modugno retweeted
Multi-turn RL with vision language models to enable RL-based training of vision-based policies.
(1/n) Can we improve the decision-making capabilities of VLM / MLLM with end-to-end RL training? ❌reward models learned from human feedback ✅task rewards from the environment Yes, we can! Website: rl4vlm.github.io/ A thread 👇
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Valerio Modugno retweeted
Alessia presents her work on HRI at #icra2024 @Valerio_Modugno
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