Appendix A
Evidence Summary Table
about 2 minutes
| Claim | Value | Source | Grade |
|---|---|---|---|
| Electromechanical delay (voluntary) | 49.73 ± 6.99 ms | Begovic et al. 2014, Front. Physiol. | A |
| Optimal myoelectric controller delay | 100 ms (fast) / 125 ms (slow) | Farrell & Weir 2007, IEEE TNSRE | A |
| Electrode shift, 2 cm | −7.6% to −20% | Tanaka et al. 2025, Sensors (consolidating) | A/B |
| Re-donning shift magnitude | 1.16 ± 0.34 cm | Hwang et al. 2017, PLOS ONE | A |
| Limb-position effect | 3.8% → 18% error | Fougner et al. 2011, IEEE TNSRE | A |
| Cross-session degradation | ~10–12 pp | Rehman et al. 2018, Sensors | A |
| Skin impedance stabilisation | ~15 min | Sousa et al. 2023, Sensors | A |
| Cross-user hand-pose error (best) | 12.2° | emg2pose, NeurIPS 2024 | A |
| Generic sEMG, no calibration | >90% held-out-user; 11,236 participants | Kaifosh et al. 2025, Nature 645 | A |
| EMG vs conventional interfaces | 26% slower, 58× error, 2.8× TLX | M4Bench 2025, Front. Robot. AI | A |
| Tele-impedance vs constant stiffness | 83.3% vs 78.3% / 60.0% | Fani et al. 2018, IEEE RAM | A |
| Tele-impedance under 1 s delay | 12.33 N vs 24.31 N peak force | Laghi et al. 2020, IJRR | A |
| Vision-derived stiffness (no EMG) | 0.87 vs 0.76 / 0.24 success; TLX 38.7 vs 49.3 / 52.4 | Stiffness Copilot 2026 | C |
| EMG force annotation → policy | 87% pick–squeeze–place; 0/10 baseline squeeze | ForceBand 2026 | C |
| Force relabelling of actions | near-zero → 76% | DexForce, RA-L | A |
| Force as raw observation | 0.475–0.575 vs 0.500 baseline (≈ nil) | FoAR, RA-L | A |
| Gated force fusion | 0.875 vs 0.500 | FoAR, RA-L | A |
| Tactile can hurt | 0.95 → 0.80 (Daimon, pick-and-place) | TaCo 2026 | C |
| Hallucinated tactile ≈ real | 45% vs 35% (cup nesting) | FELT 2026 | C |
| VLA new-task adaptation | 10–150 demos | OpenVLA, CoRL 2024 | A |
| LoRA vs full fine-tune | 68.2% vs 69.7%; 1.4% params; 8× compute | OpenVLA, CoRL 2024 | A |
| VLA new-embodiment adaptation | <200 examples | Gemini Robotics On-Device 2 | D |
| Curation with influence functions | SOTA at <33% of data | CUPID, CoRL 2025 | A |
| Curation with smoothness (SPARC) | +16% at 1/6 data | RINSE 2026 | C |
| Mixed-operator penalty | 72% → 42% (Transport) | robomimic, CoRL 2021 | A |
| Policy noise at low data | 69.7% vs 48.3% (50 eps) | Belkhale et al., NeurIPS 2023 | A |
| Prosthesis as data-collection hand | 79.3% over 450 trials | HannesImitation 2025 | C |
| Shared autonomy, HD-EMG, in home | 738 s → 517 ± 62 s (−30.0%) | Yang et al. 2026 | C |
| Shared autonomy cognitive load | 0.62 s vs 0.74 s DRT (−24%) | George lab, Nat. Commun. 2025 | A |