Opportunity summary
Score7.0Public score shown from the verified overall while the stale axis breakdown refreshesThis canonical paper page includes Commercialization Proof and Related Resources.
ARXIV:2603.28542 · ROBOTICS · SUBMITTED 31 MAR · 20:18 UTC · FRESHNESS STALE
ARXIV:2603.28542ROBOTICSSUBMITTED 31 MAR · 20:18 UTCFRESHNESS STALEFeiyu Jia · Xiaojie Niu · Sizhe Yang · Qingwei Ben · Tao Huang · Feng zhao · +2 at arXiv
A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection.
Opportunity summary
Pain A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection.
Evidence 50 refs | 3 sources | 50% coverage
Blocker Evidence unverified
A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection. However, teleoperation for dexterous manipulation remains constrained by: (i) inaccurate hand-robot motion mapping, which limits teleoperated…
Teleoperation is a key approach for collecting high-quality, physically consistent demonstrations for robotic manipulation. However, teleoperation for dexterous manipulation remains constrained by: (i) inaccurate hand-robot motion mapping, which limits teleoperated dexterity, and (ii) limited…
ScienceToStartup currently rates this 7.0/10 on the public viability pass. Through real-world teleoperation experiments and user studies, we show that TAG enables reliable real-time perception of contact geometry and dynamic force, improves success rates…
Robotics moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.
Continue into Read for claims, analysis, references, and neighboring papers.
mobile layout uses overflow-hidden min-w-0 break-wordsOpportunity summary
Score7.0Public score shown from the verified overall while the stale axis breakdown refreshesAnalysis summary
A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection.
Loading BUILD…
Paper Pack
10.48550/arXiv.2603.28542A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection.
Abstract
Teleoperation is a key approach for collecting high-quality, physically consistent demonstrations for robotic manipulation. However, teleoperation for dexterous manipulation remains constrained by: (i) inaccurate hand-robot motion mapping, which limits teleoperated dexterity, and (ii) limited tactile feedback that forces vision-dominated interaction and hinders perception of contact geometry and force variation. To address these challenges, we present TAG, a low-cost glove system that integrates precise hand motion capture with high-resolution tactile feedback, enabling effective tactile-in-the-loop dexterous teleoperation. For motion capture, TAG employs a non-contact magnetic sensing design that provides drift-free, electromagnetically robust 21-DoF joint tracking with joint angle estimation errors below 1 degree. Meanwhile, to restore tactile sensation, TAG equips each finger with a 32-actuator tactile array within a compact 2 cm^2 module, allowing operators to directly feel physical interactions at the robot end-effector through spatial activation patterns. Through real-world teleoperation experiments and user studies, we show that TAG enables reliable real-time perception of contact geometry and dynamic force, improves success rates in contact-rich teleoperation tasks, and increases the reliability of demonstration data collection for learning-based manipulation.
Source availability
PDF linkedThe paper record includes a public PDF URL.
Extraction status
Parse run linkedA document parse run is attached to this paper.
Proof status
unverified50 refs; 3 sources; 50% coverage.
What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
Viability
Time to MVP
Commercial
Export
Preparing verified analysis
Dimensions overall score 7.0
PROBLEM
A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection. However, teleoperation for dexterous manipulation remains constrained by: (i) inaccurate hand-robot motion mapping, which limits teleoperated...
METHOD
Teleoperation is a key approach for collecting high-quality, physically consistent demonstrations for robotic manipulation. However, teleoperation for dexterous manipulation remains constrained by: (i) inaccurate hand-robot motion mapping, which limits teleoperated dexterity, an...
RESULT
ScienceToStartup currently rates this 7.0/10 on the public viability pass. Through real-world teleoperation experiments and user studies, we show that TAG enables reliable real-time perception of contact geometry and dynamic force, improves success rates in contact-rich teleoper...
WHY NOW
Robotics moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.
provides drift-free, electromagnetically robust 21-DoF joint tracking with joint angle estimation errors below 1 degree.
Explicitly stated in the abstract with a specific numeric benchmark (<1 degree). The hardware evaluation section further supports this with experimental data.
partial
TAG equips each finger with a 32-actuator tactile array within a compact 2 cm^2 module
Directly stated in the abstract with specific numbers (32 actuators, 2 cm²). The hardware design section provides further detail on the module's compact dimensions.
partial
improves success rates in contact-rich teleoperation tasks
Strongly stated in the abstract as a key result from user studies and experiments. The claim is a core conclusion of the paper's evaluation.
partial
TAG is fully open-source. We provide comprehensive CAD models, PCB designs, and fabrication guides, ensuring that the system can be easily reproduced using standard materials.
Explicitly stated in the hardware design section with clear details on what is provided to ensure reproducibility.
partial
TAG employs a non-contact magnetic sensing design that provides drift-free, electromagnetically robust 21-DoF joint tracking
Directly stated in the abstract and reiterated in the design principles section as a key feature of the joint tracking system.
partial
we develop a tactile feedback module driven by Electro-Osmotic Pumps (EOPs)... we enable Tri-state control for each taxel: active protrusion(+), neutral(0), and retraction(-).
Clearly described in the tactile feedback module design section, including the operating principle (EOPs) and control capability (tri-state).
partial
TAG enables reliable real-time perception of contact geometry and dynamic force
Explicitly stated in the abstract as a demonstrated capability from real-world experiments and user studies.
partial
TAG is designed to be highly compatible with diverse teleoperation approaches for robot arms by simply adjusting its mechanical mounting adapters.
Directly stated in the hardware design section with specific examples (HOMIE exoskeleton, HTC VIVE Trackers) provided.
partial
Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.
Concepts
Methods
Materials
Markets
Competitors
A low-cost glove with precise motion capture and high-resolution tactile feedback for enhanced robotic teleoperation and data collection.
Segment
Robotics
Adoption evidence
No public code link in the paper record yet
Commercial read
7.0/10 public viability
Direct
Adjacent
Substitute
Unknown
No indexed public discussion is attached to 2603.28542 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.
Hacker News
Not indexed yet
Not indexed yet
Bluesky
Not indexed yet
Preview the source document here, or use the hero PDF action for a new tab.
Reference metadata is not materialized in the public index yet. The source PDF remains the authority; cache refresh is optional.
CITED BY
No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.
Foundation
Extension
Commercially relevant
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
3/3 checks · 100%
Build Passport
Build passport pending - Proof Lab budget No verified cost estimate / $7.00 cap
status
missing
reason
passport_row_missing
proof status
unverified
cost/budget
No verified cost estimate
confidence low
next verification path
Build brief missing until Build Passport data exists.
Source missing: Build Passport payload.
Experiment plan missing until prototype path is available.
No prototype path attached.
Validation checklist missing until required assets, cost, and regulatory flags are verified.
No checklist artifact is attached to the Build Passport payload.
Derived signals show verified:false until source-backed receipts exist.
Evidence coverage
OpportunityKernel evidence_receipt
50 refs / 3 sources / 50% coverage
stale
Verify missing sources before using this as buyer proof. verified:false
Build readiness
BuildPassport EvidenceState
passport absent
stale
Run Proof Lab or inspect typed missing state. verified:false
Artifact maturity
GitHub and Hugging Face maturity payloads
No public artifact surface observed
stale
Open source artifacts or mark the gap as missing. verified:false
Technical feasibility
partial
Current read
Runnable path is not fully verified.
Evidence
No Build Passport payload attached.
Gaps
Next test
Run minimal reproduction from the Build Passport prototype path.
Market urgency
partial
Current read
Research evidence exists; buyer urgency still needs source proof.
Evidence
50 references, 3 sources, 50% evidence coverage.
Gaps
Next test
Collect buyer interview, deployment evidence, or cited demand signal.
Buyer clarity
missing
Current read
No budget owner is verified for this paper.
Evidence
Build tab has no CRM, procurement, or operator source.
Gaps
Next test
Map target operator, economic buyer, and procurement trigger.
Defensibility
missing
Current read
Defensibility signals are missing.
Evidence
No defensibility receipt attached.
Gaps
Next test
Refresh defensibility bars with source receipts.
Integration burden
missing
Current read
No public implementation surface observed.
Evidence
No GitHub or Hugging Face payload attached.
Gaps
Next test
Write integration checklist from prototype path and target workflow.
Capital intensity
missing
Current read
No observed cost estimate is verified.
Evidence
Cost passport has no observed_usd value.
Gaps
Next test
Run cost passport or mark the cost field not applicable.
Regulatory load
missing
Current read
No regulatory classification is attached.
Evidence
Build Passport ledger does not include regulatory flags.
Gaps
Next test
Classify regulatory flags before commercialization planning.
No named scientific founder assigned.
Paper authors are not treated as operators without consent.
People
No named person assigned.
Gaps
Next verification path
Prototype owner missing.
Build Passport does not name an implementer.
People
No named person assigned.
Gaps
Next verification path
Operator workflow not sourced.
No buyer or workflow interview attached.
People
No named person assigned.
Gaps
Next verification path
No GTM owner verified.
No CRM or outreach source attached.
People
No named person assigned.
Gaps
Next verification path
Regulatory need unclassified.
No clinical or regulatory source attached.
People
No named person assigned.
Gaps
Next verification path
ARTIFACTS
No public artifacts yet.
DEFENSIBILITY
Defensibility and confidence evidence pending.
WATCHTOWER
No verified watchtower monitor rows yet.
FORESIGHT
No prediction yet — minted on next Foresight batch.
OPPORTUNITYKERNEL CHANGES SINCE LAST VIEW
No verified OpportunityKernel changes since the last view.
COMPETITIVE LANDSCAPE UPDATES
No verified competitive landscape changes yet.
RELATED PAPER UPDATES
No verified related paper changes yet.
SIGNAL CANVAS HISTORY AND DELTAS
No Signal Canvas history deltas yet.
TIMELINE
Save this paper to start tracking momentum - commits, demos, and score changes appear here.
No tracked events yet.
Score trend will appear after multiple data points.
BUZZ
Buzz trend pending.