#GRASPlab - Twitter Hashtag

5 days ago

GRASP's Kumar Lab collaborated with researchers from MIT to develop a new algorithm to find optimized, safe flight paths for robots by mapping areas and planning collision-free trajectories. Video: https://t.co/tBwUk2ydUE #GRASP #GRASPLab #KumarLab

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6 days ago

EvMAPPER is a GRASP collaborative project that introduces the first orthomosaic approach for event cameras, enabling map generation even in challenging light conditions such as direct sunlight or after sunset. Website: https://t.co/5jyOdA14Y8 #GRASP #GRASPLab #GRASPResearchers

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7 days ago

GRASP's Kumar Lab developed a novel learning-based trajectory planning framework for quadrotors that optimizes their trajectory by changing the optimization problem into a quadratic programming problem. Video: https://t.co/rRKNn2yvJV #GRASP #GRASPLab #KumarLab

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GRASP Laboratory @GRASPlab

8 days ago

We hope everyone had a wonderful time at the GRASP Welcome Back BBQ! Wishing you all a wonderful start to the semester!!! #GRASP #GRASPLab #GRASPBBQ #Fall2026

GRASPlab's tweet photo. We hope everyone had a wonderful time at the GRASP Welcome Back BBQ! Wishing you all a wonderful start to the semester!!!

#GRASP #GRASPLab #GRASPBBQ #Fall2026 https://t.co/67kuR1zoUX

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GRASP Laboratory @GRASPlab

12 days ago

Congratulations to GRASP's own Dr. Lingjie Liu(@LingjieLiu1) on receiving the 2026 ACM SIGGRAPH Significant New Researcher Award, for her "outstanding contributions to neural representations, human performance capture and animation, and 3D reconstruction”. #GRASP #GRASPLab

GRASPlab's tweet photo. Congratulations to GRASP's own Dr. Lingjie Liu(@LingjieLiu1) on receiving the 2026 ACM SIGGRAPH Significant New Researcher Award, for her "outstanding contributions to neural representations, human performance capture and animation, and 3D reconstruction”.

#GRASP #GRASPLab https://t.co/mwmfYp7ajX

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14 days ago

Researchers at GRASP have developed M3ED, a multi-sensor event camera that provides high-quality, synchronized, and labeled data that can be used on multiple robotic platforms. Website: https://t.co/7mZ1FZHP8U #GRASP #GRASPLab #GRASPResearchers

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GRASP Laboratory @GRASPlab

15 days ago

The Perception, Action, and Learning Group has found that sensory information is rarely task-critical in many commonly studied task setups. Read more on their findings: https://t.co/LhtEQsNqTg #GRASP #GRASPLab #PAL

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GRASP Laboratory @GRASPlab

16 days ago

GRASP's Perception, Action, and Learning Group proposes evaluating robots through "interactive reward functions" (IRFs) for training reinforcement learning policies. Website: https://t.co/8jjHWdk67B #GRASP #GRASPLab #PAL

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GRASP Laboratory @GRASPlab

19 days ago

GRASP's Figueroa Lab has developed the OCR framework, a policy that addresses the challenges in out-of-distribution scenarios in visuomotor policy learning. Website: https://t.co/GHohvRmnaI #GRASP #GRASPLab #FigueroaLab

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GRASP Laboratory @GRASPlab

20 days ago

GRASP Researchers have tested both reinforcement learning (RL) and geometric controllers (GC) to find which would be best for a quadrotor with a fixed arm. Read the results here: https://t.co/5AetRPMcZj #GRASP #GRASPLab #GRASPResearchers

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GRASP Laboratory @GRASPlab

22 days ago

OmniGuide is a GRASP collaborative project to build a flexible framework that improves Vision-language-action (VLA) model performance, such as 3D foundation models, semantic reasoning VLMs, and human pose models. Website: https://t.co/EWKxJTDFOA #GRASP #GRASPLab

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GRASP Laboratory @GRASPlab

26 days ago

GRASP's Kumar Lab has developed EvDNeRF, a program that generates event data by combining the perception advantages of event cameras with the rendering advantages of NeRFs. Website: https://t.co/IHlIpqDd7U #GRASP #GRASPLab #KumarLab

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GRASP Laboratory @GRASPlab

28 days ago

GRASP's Kumar Lab has studied the capabilities of the vision transformer (ViT) architecture that maps depth images to velocity commands in both real-world applications and simulations. Read the study here: https://t.co/t6AbleDWWa #GRASP #GRASPLab #KumarLab

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GRASP Laboratory @GRASPlab

about 1 month ago

GRASP's Kumar Lab developed the first static-obstacle avoidance method for quadrotors using onboard monocular event cameras. Website: https://t.co/9KLp0NVDOo Video: https://t.co/hkamNz711x #GRASP #GRASPLab #KumarLab

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GRASP Laboratory @GRASPlab

about 1 month ago

GRASP's Figueroa Lab developed Elastic-DS, a novel Dynamical System that can adapt to new task instances and trajectories. Website: https://t.co/wODcg7Fe7w #GRASP #GRASPLab #FigueroaLab

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about 1 month ago

Scaffolder is a system that enhances reinforcement learning training by exploiting privileged sensing and outperforms or compares to already existing baseline policies. Policy created by GRASP's Perception, Action, and Learning Group. Website: https://t.co/RrPf2vPhHE #GRASPLab

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GRASP Laboratory @GRASPlab

about 1 month ago

GRASP's Kumar Lab has developed a robotic reinforcement learning system that reduces the Markov decision process and allows for accelerated training. Website: https://t.co/4ERtI3R4d4 Video: https://t.co/RHVaqy49Xo #GRASP #GRASPLab #KumarLab

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GRASP Laboratory @GRASPlab

about 2 months ago

GRASP's Sung Robotics lab developed a lightweight and compact tunable-stiffness actuator based on a coiled spring. The actuator could be useful in future soft robotics applications! Video: https://t.co/VyoiPwKypp #GRASP #GRASPLab #SungRobotics

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GRASP Laboratory @GRASPlab

about 2 months ago

GRASP's Kumar Lab has developed HALO, a system designed to map and explore large-scale outdoor environments with real-time dense 3D reconstruction vision at large distances. Website: https://t.co/D47tDp0rnc #GRASP #GRASPLab #KumarLab

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about 2 months ago

Asymmetric Advantage Weighted Regression (AAWR) is a type of reinforcement learning that leverages privileged information to train active perception policies on real robots. By GRASP's Perception, Action, and Learning Group. Website: https://t.co/ux0D1ZkLN1 #GRASP #GRASPLab #PAL

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