ARXIV:2603.19170 · ROBOTICS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

Yicheng Zeng · Ruturaj S. Sambhus · Basit Muhammad Imran · Jeeseop Kim · Vittorio Pastore · Kaveh Akbari Hamed · arXiv

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Ship in 2-4 weeks›Score7.0Evidence unverified

Opportunity summary

Pain A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware. The incorporation of CBF constraints introduces explicit inter-agent coupling, which prevents direct decomposition of the resulting optimal control…

METHOD

Full abstract

This paper proposes a fully decentralized model predictive control (MPC) framework with control barrier function (CBF) constraints for safety-critical trajectory planning in multi-robot legged systems. The incorporation of CBF constraints introduces explicit inter-agent coupling, which prevents direct decomposition of the resulting optimal control problems. To address this challenge, we reformulate the centralized safety-critical MPC problem using a structured distributed optimization framework based on the alternating direction method of multipliers (ADMM). By introducing a novel node-edge splitting formulation with consensus constraints, the proposed approach decomposes the global problem into independent node-local and edge-local quadratic programs that can be solved in parallel using only neighbor-to-neighbor communication. This enables fully decentralized trajectory optimization with symmetric computational load across agents while preserving safety and dynamic feasibility. The proposed framework is integrated into a hierarchical locomotion control architecture for quadrupedal robots, combining high-level distributed trajectory planning, mid-level nonlinear MPC enforcing single rigid body dynamics, and low-level whole-body control enforcing full-order robot dynamics. The effectiveness of the proposed approach is demonstrated through hardware experiments on two Unitree Go2 quadrupedal robots and numerical simulations involving up to four robots navigating uncertain environments with rough terrain and external disturbances. The results show that the proposed distributed formulation achieves performance comparable to centralized MPC while reducing the average per-cycle planning time by up to 51% in the four-agent case, enabling efficient real-time decentralized implementation.

RESULT

ScienceToStartup currently rates this 7.0/10 on the public viability pass. This enables fully decentralized trajectory optimization with symmetric computational load across agents while preserving safety and dynamic feasibility. Code availability is flagged in the…

WHY NOW

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.

Opportunity summary

Score7.0

PainA decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

ARXIV:2603.19170 · ROBOTICS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

Yicheng Zeng · Ruturaj S. Sambhus · Basit Muhammad Imran · Jeeseop Kim · Vittorio Pastore · Kaveh Akbari Hamed · arXiv

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Ship in 2-4 weeks›Score7.0Evidence unverified

Opportunity summary

Pain A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

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.

Opportunity summary

Score7.0

PainA decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.19170

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback39 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

7.0

Time to MVP

MVP estimate missing

Commercial

code

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Robotics moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware. The incorporation of CBF constraints introduces explicit inter-agent coupling, which prevents direct decomposition of the resulting optimal control problems.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
This paper proposes a fully decentralized model predictive control (MPC) framework with control barrier function (CBF) constraints for safety-critical trajectory planning in multi-robot legged systems. The incorporation of CBF constraints introduces explicit inter-agent coupling, which prevents direct decomposition of the resulting optimal control problems.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 7.0/10 on the public viability pass. This enables fully decentralized trajectory optimization with symmetric computational load across agents while preserving safety and dynamic feasibility. Code availability is flagged in the production record; the public repository link still needs proof alignment.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Robotics moved forward this cycle; last verified April 2026. Public score 7.0/10. Production flags indicate code availability.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Robotics

Competitors

not indexed

Competitive landscape

A decentralized MPC framework with CBF constraints for safe, real-time multi-robot quadrupedal locomotion, demonstrated on hardware.

Segment

Robotics

Adoption evidence

No public code link in the paper record yet

Commercial read

7.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2603.19170 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(39)

A Nonlinear MPC Framework for Loco-Manipulation of Quadrupedal Robots With Non-Negligible Manipulator Dynamics

2025Ruturaj S. Sambhus, Kapi Ketan Mehta et al.

Safety-Critical and Distributed Nonlinear Predictive Controllers for Teams of Quadrupedal Robots

2025B. Imran, Jeeseop Kim et al.

ProxDDP: Proximal Constrained Trajectory Optimization

2025Wilson Jallet, Antoine Bambade et al.

Predictive Control With Indirect Adaptive Laws for Payload Transportation by Quadrupedal Robots

2024Leila Amanzadeh, Taizoon Chunawala et al.

A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear MPC Approach

2024B. Imran, Randall T. Fawcett et al.

Multirobot Adversarial Resilience Using Control Barrier Functions

2024Matthew Cavorsi, Lorenzo Sabattini et al.

FATROP: A Fast Constrained Optimal Control Problem Solver for Robot Trajectory Optimization and Control

2023Lander Vanroye, A. Sathya et al.

Walking in Narrow Spaces: Safety-Critical Locomotion Control for Quadrupedal Robots with Duality-Based Optimization

2022Qiayuan Liao, Zhongyu Li et al.

Optimization-Based Control for Dynamic Legged Robots

2022Patrick M. Wensing, Michael Posa et al.

Layered Control for Cooperative Locomotion of Two Quadrupedal Robots: Centralized and Distributed Approaches

2022Jeeseop Kim, Randall T. Fawcett et al.

Robust Predictive Control for Quadrupedal Locomotion: Learning to Close the Gap Between Reduced- and Full-Order Models

2022Abhishek Pandala, Randall T. Fawcett et al.

Discrete-Time Control Barrier Function: High-Order Case and Adaptive Case

2022Y. Xiong, Dihua Zhai et al.

Robust Stabilization of Periodic Gaits for Quadrupedal Locomotion via QP-Based Virtual Constraint Controllers

2022Randall T. Fawcett, Abhishek Pandala et al.

Terrain-Adaptive, ALIP-Based Bipedal Locomotion Controller via Model Predictive Control and Virtual Constraints

2021G. Gibson, O. Dosunmu-Ogunbi et al.

Autonomous navigation of underactuated bipedal robots in height-constrained environments

2021Zhongyu Li, Jun Zeng et al.

3-D Underactuated Bipedal Walking via H-LIP Based Gait Synthesis and Stepping Stabilization

2021Xiaobin Xiong, A. Ames

Distributed Non-Convex Model Predictive Control for Non-Cooperative Collision Avoidance of Networked Differential Drive Mobile Robots

2021R. Mao, Hu Dai

Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds

2020Yanran Ding, Abhishek Pandala et al.

Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control

2020R. Grandia, Andrew J. Taylor et al.

Variational-Based Optimal Control of Underactuated Balancing for Dynamic Quadrupeds

2020Matthew Chignoli, Patrick M. Wensing

Showing 20 of 39 references

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

Prior WorkCMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection

7.0

Extension

Builds On ThisSafety-Critical Centralized Nonlinear MPC for Cooperative Payload Transportation by Two Quadrupedal Robots

4.0

Builds On ThisPredictive Control with Indirect Adaptive Laws for Payload Transportation by Quadrupedal Robots

3.0

Builds On ThisFORMULA: FORmation MPC with neUral barrier Learning for safety Assurance

4.0

Commercially relevant

Higher ViabilityRL-Augmented MPC for Non-Gaited Legged and Hybrid Locomotion

8.0

Higher ViabilitySafe Consensus of Cooperative Manipulation with Hierarchical Event-Triggered Control Barrier Functions

8.0

Conflicting

Competing ApproachACLM: ADMM-Based Distributed Model Predictive Control for Collaborative Loco-Manipulation

7.0

Competing ApproachRK-MPC: Residual Koopman Model Predictive Control for Quadruped Locomotion in Offroad Environments

7.0

Competing ApproachLong-Horizon Geometry-Aware Navigation among Polytopes via MILP-MPC and Minkowski-Based CBFs

6.0

Competing ApproachIterative Convex Optimization with Control Barrier Functions for Obstacle Avoidance among Polytopes

7.0

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Owned Distribution

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Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.19170
Route: /paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion
Active tab: read
Artifact: admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion/paper-pack
REST build passport API/api/v1/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

{
  "contract_version": "paper-r2",
  "paper_id": "9c192ee9-d6d4-4b70-bb1f-172c97d1a442",
  "arxiv_id": "2603.19170",
  "canonical_route": "/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion",
  "active_tab": "synced from current hash by the drawer client",
  "selected_artifact": "admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion",
  "endpoints": {
    "paper_pack": "/api/v1/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion/paper-pack",
    "build_passport": "/api/v1/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion/build-passport",
    "mcp_resource": "sciencetostartup://surfaces/paper-workspace"
  }
}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

Canonical ID admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion | Route /paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2603.19170"
  }
}

source_context

{
  "surface": "paper",
  "mode": "paper",
  "query": "ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion",
  "normalized_query": "2603.19170",
  "route": "/paper/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion",
  "paper_ref": "admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Watch and verify: ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

/buildability/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

Watchwatch

Subject: ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

Paper ref

admm-based-distributed-mpc-with-control-barrier-functions-for-safe-multi-robot-quadrupedal-locomotion

arXiv id

2603.19170

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

3e39bd9ebad5781943e05692efd0b8d9f374d9420fd93e6ca7e88622540585d9

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

{
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  "@graph": [
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ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

ADMM-Based Distributed MPC with Control Barrier Functions for Safe Multi-Robot Quadrupedal Locomotion

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References(39)

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Brief

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Scientific founder

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