neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
UR5e live RGB-D approach, gated spur release, and home return in a two-tree Blender orchard.
Translation pending
Developer toolsPython · ShellGitHub @joses2017smjhOnlineOwner unconfirmed
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UR5e pruning in Isaac Sim: RGB-D control, dual-ToF release gates, and independently graded success and failure recordings.
Translation pending
Taken from the repository README
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Closed-loop RGB-D control for a simulated UR5e: track a selected spur, gate motion and release with dual ToF and contact checks, then independently grade the recorded sequence.
Selected 20-second simulation: one known target, 17/17 sequence checks. Release is a discrete rigid-piece surrogate; the jaws do not model wood fracture.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Closed-loop RGB-D control for a simulated UR5e: track a selected spur, gate motion and release with dual ToF and contact checks, then independently grade the recorded sequence.
Selected 20-second simulation: one known target, 17/17 sequence checks. Release is a discrete rigid-piece surrogate; the jaws do not model wood fracture.Read the full README ↗