{"id":"742464cc-c2b4-4917-9c5f-ba82c99e4884","arxiv_id":"2607.02174","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":6.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":0,"one_line_summary":"Way of Water delivers a browser-based timeline authoring tool plus custom holonomic vessels and MPC control stack for music-responsive aquatic robotic choreography, validated in two real deployments.","lead":"The paper describes a complete hardware and software system called Way of Water for controlling fleets of robotic boats that create artistic light and water-jet performances on lakes and canals. A smart generalist might read it to understand how complex robotics control can be packaged into artist-friendly timeline tools for public installations.","discovery_kind":"new_application","skeptic_critique":{"model":"grok-4.3","headline":"No significant objection identified","rationale":"Reader's weakest_assumption correctly isolates the practical reliability question. With deployments explicitly cited as validation, the argument is not internally inconsistent; any remaining doubt is empirical rather than structural. No adjustment to UNVERDICTED is warranted on the basis of the supplied text.","tokens_in":1793,"tokens_out":272,"duration_ms":22528,"concrete_test":"Confirm that the full manuscript contains at least one table or figure reporting quantitative tracking error, disturbance magnitude, or retuning events from either deployment; if such data exist and are consistent with the claim of reliable operation, the engineering validation holds.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The central claim is an engineering systems contribution: a browser-based timeline authoring tool that wraps standard SCP trajectory generation and MPC disturbance rejection for an aquatic vessel fleet, validated by two real deployments. The deployments (18 vessels at Lake Zurich; 8 at Venice) are presented as grounding evidence that the stack works in situ. Because the paper supplies concrete deployment references rather than purely simulated or abstract results, and because no internal inconsistency appears in the stated architecture, the load-bearing assumption (reliable disturbance rejection without per-deployment retuning) is treated as an empirical claim that the reported field trials are intended to support.","agreement_with_reader":"agree"},"referee_report":{"model":"grok-4.3","summary":"The paper presents Way of Water, a vertically integrated cyber-physical framework for orchestrating fleets of autonomous surface vessels as a distributed choreographic platform in open water. The primary contribution is the Way of Water Studio, a browser-based timeline-compositing tool that treats the fleet as a DAW-like instrument, encapsulating Sequential Convex Programming (SCP) for trajectory generation and Model Predictive Control (MPC) for disturbance rejection. The system includes a custom holonomic chassis, aquatic-tuned state estimation and control, and LTE/MQTT fleet communication with RTK-GPS synchronization. Validation is claimed via two real deployments: an 18-vessel Swan Lake performance at Lake Zurich and an 8-vessel demonstration at the 2025 Venice Biennale.","tokens_in":1891,"tokens_out":538,"duration_ms":34400,"significance":"If the empirical claims hold, the work offers a practical bridge between high-performance control methods and artistic practice, lowering barriers for non-programmer artists to create music-responsive volumetric performances in fluid environments. The real-world deployments provide concrete grounding beyond simulation, and the DAW-inspired authoring paradigm could influence accessible tools in robotic art and human-robot interaction.","major_comments":[{"comment":"Abstract and validation description: the assertion of 'successful validation' across the two deployments supplies no quantitative performance data, trajectory tracking errors, disturbance-rejection metrics (e.g., wave/current rejection statistics), or baseline comparisons, which is load-bearing for the central claim that the SCP/MPC stack reliably operates without per-deployment retuning.","section":"Abstract"},{"comment":"The load-bearing assumption that the aquatic-tuned MPC will reject real-world disturbances (waves, wind, currents) across fleet sizes of 8–18 without manual intervention is presented as supported by the deployments, yet no specific evidence (e.g., closed-loop error traces or retuning logs) is referenced to substantiate this.","section":"Validation deployments"}],"minor_comments":[{"comment":"The abstract introduces several acronyms (SCP, MPC, DAW, RTK-GPS) without first-use expansion; a dedicated notation table or expanded first paragraph would improve readability for an interdisciplinary audience.","section":"Abstract"},{"comment":"The description of the 'laminar nozzles and multi-zone lighting' extending to the '3D volumetric domain' would benefit from a clarifying figure or diagram early in the manuscript to distinguish the expressive mechanism from standard surface-pixel approaches.","section":"Introduction"}],"recommendation":"major_revision","confidential_remarks":null},"author_rebuttal":{"model":"grok-4.3","summary":"We thank the referee for the detailed and constructive comments. We address each major comment below, agreeing where the manuscript requires strengthening and proposing targeted revisions.","responses":[{"response":"We agree that the abstract's phrasing of 'successful validation' is not supported by quantitative metrics in the current manuscript. The deployments are presented as real-world demonstrations of the system completing choreographed performances without per-deployment retuning or manual intervention. In revision we will qualify the abstract language to describe the outcomes as 'demonstrated through two public artistic deployments' and add a dedicated paragraph in the validation section that explicitly states the success criteria used (completion without collisions or timeline deviations) while acknowledging the absence of logged tracking errors or baseline comparisons.","revision_made":"yes","referee_comment":"[Abstract] Abstract and validation description: the assertion of 'successful validation' across the two deployments supplies no quantitative performance data, trajectory tracking errors, disturbance-rejection metrics (e.g., wave/current rejection statistics), or baseline comparisons, which is load-bearing for the central claim that the SCP/MPC stack reliably operates without per-deployment retuning."},{"response":"The manuscript grounds the claim in the fact that both the 18-vessel and 8-vessel performances ran to completion under the deployed MPC without observed manual corrections or retuning. We acknowledge that this does not constitute the quantitative evidence requested. We will revise the validation section to make the evidential basis explicit, add any available observational notes on environmental conditions, and include a limitations paragraph noting the lack of closed-loop error traces or retuning logs.","revision_made":"yes","referee_comment":"[Validation deployments] The load-bearing assumption that the aquatic-tuned MPC will reject real-world disturbances (waves, wind, currents) across fleet sizes of 8–18 without manual intervention is presented as supported by the deployments, yet no specific evidence (e.g., closed-loop error traces or retuning logs) is referenced to substantiate this."}],"tokens_in":1438,"tokens_out":464,"duration_ms":55204,"standing_objections":["Quantitative performance data such as trajectory tracking errors, wave/current rejection statistics, or closed-loop error traces from the deployments, as these were not collected during the artistic events."]},"desk_editor":{"model":"grok-4.3","letter":"The core contribution here is the Way of Water Studio, a DAW-style browser interface that lets non-programmers compose music-driven trajectories for a fleet of custom holonomic surface vessels. It wraps standard Sequential Convex Programming for path generation and Model Predictive Control for disturbance handling, then ships the result over LTE/MQTT with RTK-GPS sync. The two field trials—an 18-vessel run at Lake Zurich and an 8-vessel Venice Biennale piece—give the work concrete grounding that most simulation-only papers lack.\n\nThe hardware side is also straightforward: laminar nozzles and multi-zone lighting move the output from flat water patterns into 3D volume. That combination of accessible authoring, off-the-shelf optimization, and actual outdoor use is the practical advance.\n\nThe main weakness is the absence of any quantitative results. The abstract and description mention successful validation but give no tracking errors, disturbance-rejection statistics, comparison baselines, or notes on how much retuning was required between sites. Without those numbers it is hard to judge whether the MPC layer actually handles waves and currents reliably at fleet scale or whether the deployments simply benefited from favorable conditions and manual fixes.\n\nThe control methods themselves are imported without modification, so the novelty sits in the application and interface rather than new theory. That is acceptable for a systems paper, but it does mean the central engineering claim rests entirely on the unreported field data.\n\nThis is for researchers in robotic performance, creative HRI, or applied multi-robot systems who want a concrete example of an end-to-end artistic stack. A reader building similar tools could extract useful architecture details.\n\nIt deserves peer review. The deployments make the work checkable, and referees can ask for the missing metrics without the paper being dismissed outright.","headline":"The paper delivers a working browser-based timeline tool for artist-led aquatic robot fleets, backed by two real deployments, but supplies almost no performance numbers to back the control claims.","tokens_in":2399,"tokens_out":436,"would_cite":false,"duration_ms":26942,"reading_group":"maybe","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"grok-4.3","headline":"A browser-based studio lets artists choreograph fleets of aquatic robots as a music-responsive instrument.","keywords":["aquatic robotics","robotic choreography","swarm robotics","model predictive control","sequential convex programming","artistic interfaces","cyber-physical systems"],"falsifier":"A new deployment of 10 to 15 vessels in moderate waves where the generated trajectories require post-hoc manual adjustments or fail to maintain formation would show the control layers do not reject disturbances as claimed.","tokens_in":2697,"feed_emoji":"🚤","tokens_out":427,"duration_ms":37126,"temperature":0.7,"pith_summary":"The paper establishes a complete cyber-physical framework for using fleets of autonomous surface vessels in open-water robotic art. It introduces the Way of Water Studio as a timeline-based authoring tool that hides advanced control algorithms behind an interface similar to digital audio workstations. This allows non-programmers to create choreographies that respond to music while the underlying system generates trajectories and rejects disturbances like waves and currents. Validation through two real-world deployments with 8 and 18 vessels shows the approach works in practice for expressive performances that extend into three dimensions with lighting and water jets.","feed_headline":"Browser studio turns robot boats into music choreographers","feed_subtitle":"Timeline tool lets artists direct fleets on water without writing code for each move","key_machinery":"The Way of Water Studio, a browser-based timeline-compositing authoring paradigm that treats the fleet as a DAW-like instrument for music-responsive choreography.","core_discovery":"The central contribution is the Way of Water Studio, which encapsulates Sequential Convex Programming for trajectory generation and Model Predictive Control for disturbance rejection within a visual timeline interface, enabling music-responsive choreography of a fleet of autonomous surface vessels equipped with laminar nozzles and multi-zone lighting.","pith_inferences":[],"forward_implications":[],"fun_headline_variants":["Browser studio timelines robot boat fleets","Artists direct robot boats via visual timeline","Way of Water for music choreographed vessels","Timeline tool choreographs aquatic robot art"],"cache_read_input_tokens":64,"weakest_assumption_plain":"The Sequential Convex Programming and Model Predictive Control layers tuned for the aquatic domain will reliably reject real-world disturbances across fleet sizes of 8 to 18 vessels without requiring per-deployment manual retuning.","fun_headline_variants_meta":{"raw":{"variants":["Browser studio timelines robot boat fleets","Artists direct robot boats via visual timeline","Way of Water for music choreographed vessels","Timeline tool choreographs aquatic robot art"]},"model":"grok-4.3","cost_usd":0.007687,"raw_usage":{"total_tokens":3514,"prompt_tokens":663,"num_sources_used":0,"completion_tokens":49,"cost_in_usd_ticks":76874500,"prompt_tokens_details":{"text_tokens":663,"audio_tokens":0,"image_tokens":0,"cached_tokens":256},"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2802,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}},"tokens_in":663,"tokens_out":49,"duration_ms":36423,"temperature":1.0,"reasoning_tokens":2802,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-07-03T11:42:17.854769+00:00","model_set":{"reader":"grok-4.3"},"falsifier":"A new deployment of 10 to 15 vessels in moderate waves where the generated trajectories require post-hoc manual adjustments or fail to maintain formation would show the control layers do not reject disturbances as claimed.","supporting_citations":[],"review_version":1}