AutonomousRobotsLab

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AutonomousRobotsLab

AutonomousRobotsLab

@arlteam

Autonomous Robots Lab hosts a group of researchers passionate for robotics!

Trondheim, Norway Katılım Şubat 2019
324 Takip Edilen5.5K Takipçiler
AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
Validated extensively on rotary-wing and ground robots such as multirotors and legged robots (while several of its modules are also tested on fixed-wing aircraft and underwater ROVs), the stack has demonstrated resilient autonomy in GPS-denied and challenging field conditions.
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
Navigation & Multi-layered Safety: combining map-based collision avoidance and reactive navigation — including (a) Neural SDF-based NMPC (ensuring collision-free motion even in unknown or perceptually degraded spaces), (b) Exteroceptive Deep RL, and (c) CBF-based safety filters.
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
Starting with light and finishing in pitch darkness - all while mapping most of NTNU's main campus. Long-term collaborative exploration through a marsupial legged-aerial robot team youtu.be/eiRNcaPM5L8?si…
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YouTube
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
Drone-level vision-driven autonomous exploration, now underwater. Results from field deployment in an unfinished submarine base. Significant step towards a *Unified Resilient Autonomy* architecture. Details soon! youtu.be/CDn_PnH3f5o?si… #robotics #research
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YouTube
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
Newer capabilities to query face & vertex indices and surface normal information are added to the rendering framework alongside the capability to query user-defined vertex-level annotations from the environment. Scripts to deploy trained policies on real robots are provided.
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
We provide scripts for training: * State-based RL policies for position setpoint tracking * Vision based RL-policies for cluttered navigation * Joint-aware policies for soft drones minimizing joint oscillation * Joint & motor control policies for reconfigurable systems
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
If you are at #CoRL 2024 this week, come have a look at our work on "In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning": Open-hardware (low-cost), open-software quadruped with RL for in-flight attitude stabilization.
AutonomousRobotsLab tweet media
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AutonomousRobotsLab
AutonomousRobotsLab@arlteam·
If you are interested in vision-driven underwater autonomy and looking for a VIO system that doesn't require calibration underwater and instead estimates online the refractive index check our new open-source ReAqROVIO: Refractive Aquatic ROVIO github.com/ntnu-arl/reaqr… #rotics
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