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🤓 Latest Submissions
Bimanual Pick-Handoff-Place with VLM Planning
Two simulated SO-101 arms face each other across a table. Arm A picks up a cup, hands it to Arm B across a shared reach zone, and Arm B places it on a marked target — all driven by a natural-language instruction that a hosted vision-language model (Gemini 3.6 Flash) interprets alongside a rendered camera frame to select which scripted primitive to run next. A local CLIP model, converted to OpenVINO IR and benchmarked on Intel CPU, cross-checks that the target object is actually visible in the scene, giving the submission a genuine local-inference component alongside the hosted VLM. All arm motion uses classical inverse kinematics and waypoint control rather than a learned policy — a deliberate scope decision made under a tight timeline, documented openly in the repo's README. The system was evaluated across 10 randomized seeds (varying cup position, color, and lighting) with a 100% task success rate. Several episodes exercised the planner's fallback path after hitting the VLM provider's free-tier rate limit, demonstrating graceful degradation rather than failure. The OpenVINO benchmark shows FP16 CLIP inference running about 11% faster than FP32 on the available hardware, with half the model size. As an online-track team, we benchmarked on our own available Intel Core i7 hardware rather than Core Ultra Series 2/3, which wasn't provided to remote participants — this and every other simplification (kinematic grasping, position-only IK, narrow randomization) is documented transparently in the repository rather than glossed over.
16 Sep 2026
BOLO AI
BOLO is an AI-powered speaking practice platform built to help people think clearly and communicate confidently under pressure. Across Closer, Script, and Free Speech modes, BOLO analyzes speech in real time to detect disfluencies, filler words, pace, and recurring speech patterns. It combines multiple speech signals to make disfluency detection more reliable, then identifies recurring onset patterns and turns them into personalized exercises. Rather than simply pointing out mistakes, BOLO helps users understand how they speak, practice their specific weaknesses, and improve through repeated, measurable training.
10 Aug 2026
