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reactemg
PublicReactEMG is a low-latency, high-accuracy model that predicts hand gestures from forearm EMG signals at every timestep. Its masked-segmentation architecture jointly learns EMG features and user intent, enabling zero-shot generalization without subject-specific calibration and making it well-suited for robotic control.mece6616_sp25_project4
Publicmecs6616_sp25_project3
Publicroamlab.github.io
Publicmecs6616_sp24_project5
Publicmecs6616_sp24_project4
Publicmecs6616_sp24_project3
Publicrobot-learning-S2024
Publicmecs6616_sp23_project5
Publicmecs6616_sp23_project4
Publicmecs6616_sp23_project3
PublicLandSnake
Publicrobot-learning-S2023
Publicroam_utils
Publicroam_rl
PublicHWasP-toy-problem
Publicgraspit
Publicbaselines-hippo
Publicfetch_ros
Publicfetch_gazebo
Publichomework_server
Publicroam_env
Publicteleop_twist_joy
Publicrobot_controllers
Publicconfac
PublicSnake_CANbus
Publicarm_teleop_ur5
Publicsubspace_teleop
Publicbaselines
Public