Bridging Discrete Planning and Continuous Execution for Redundant Robot

Bridging Discrete Planning and Continuous Execution for Redundant Robot | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/bridging-discrete-planning-and-continuous-execution-for-redundant-robot

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID bridging-discrete-planning-and-continuous-execution-for-redundant-robot | Route /signal-canvas/bridging-discrete-planning-and-continuous-execution-for-redundant-robot

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bridging-discrete-planning-and-continuous-execution-for-redundant-robot

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "bridging-discrete-planning-and-continuous-execution-for-redundant-robot",
    "query_text": "Summarize Bridging Discrete Planning and Continuous Execution for Redundant Robot"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Bridging Discrete Planning and Continuous Execution for Redundant Robot",
  "normalized_query": "2604.02021",
  "route": "/signal-canvas/bridging-discrete-planning-and-continuous-execution-for-redundant-robot",
  "paper_ref": "bridging-discrete-planning-and-continuous-execution-for-redundant-robot",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Bridging Discrete Planning and Continuous Execution for Redundant Robot

PDF: https://arxiv.org/pdf/2604.02021v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:40.576Z

Signal Canvas receipt window

Not build-ready: Bridging Discrete Planning and Continuous Execution for Redundant Robot

/buildability/bridging-discrete-planning-and-continuous-execution-for-redundant-robot

Ignoreblocked

Subject: Bridging Discrete Planning and Continuous Execution for Redundant Robot

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
this bridge raises planning success in dense scenes from about 0.58 to 1.00
Implicationpartial
Directly stated in abstract with clear numeric evidence
Verificationpartial
partial
Evidencepartial
shortens representative path length from roughly 1.53 m to 1.10 m
Implicationpartial
Directly stated in abstract with clear numeric evidence
Verificationpartial
partial
Evidencepartial
while keeping end-effector error below 1 mm, reduces peak joint accelerations by over an order of magnitude
Implicationpartial
Directly stated in abstract with clear numeric evidence
Verificationpartial
partial
Evidencepartial
direct execution through point-wise numerical inverse kinematics on 7-DoF arms often yields step-size jitter, abrupt joint transitions, and instability near singular configurations
Implicationpartial
Directly stated in abstract as problem description
Verificationpartial
partial
Evidencepartial
step-normalized 26-neighbor Cartesian actions and a geometric tie-breaking mechanism are introduced to suppress unnecessary turns and eliminate step-size oscillations
Implicationpartial
Directly stated in abstract as method description
Verificationpartial
partial
Evidencepartial
a task-priority damped least-squares (TP-DLS) inverse kinematics layer is implemented. This layer treats end-effector position as a primary task
Implicationpartial
Directly stated in abstract as method description
Verificationpartial
partial
Evidencepartial
posture and joint centering are handled as subordinate tasks projected into the null space, combined with trust-region clipping and joint velocity constraints
Implicationpartial
Directly stated in abstract as method description
Verificationpartial
partial
Evidencepartial
substantially improving the continuous execution quality of voxel-based RL paths on redundant manipulators
Implicationpartial
Directly stated in abstract as conclusion, supported by multiple quantitative results
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Bridging Discrete Planning and Continuous Execution for Redundant Robot

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface