On the public citation graph

Minimum Constraint Displacement Motion Planning

0 signed · 50 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jagm.1999.1048openalex-snapshot
Fully Dynamic Algorithms for Maintaining Shortest Paths Trees
inferredcites →https://doi.org/10.1007/10991541_6openalex-snapshot
Multi-Step Motion Planning for Free-Climbing Robots
inferredcites →https://doi.org/10.1007/978-3-540-68405-3_17openalex-snapshot
A Simple Path Non-existence Algorithm Using C-Obstacle Query
inferredcites →https://doi.org/10.1007/978-3-642-00312-7openalex-snapshot
Algorithmic Foundation of Robotics VIII
inferredcites →https://doi.org/10.1007/978-3-642-36279-8_1openalex-snapshot
The Minimum Constraint Removal Problem with Three Robotics Applications
inferredcites →https://doi.org/10.1007/bf01530890openalex-snapshot
Motion planning in the presence of movable obstacles
inferredcites →https://doi.org/10.1109/70.508439openalex-snapshot
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
inferredcites →https://doi.org/10.1109/cdc.2013.6760374openalex-snapshot
Incremental sampling-based algorithm for minimum-violation motion planning
inferredcites →https://doi.org/10.1109/ichr.2004.1442130openalex-snapshot
Navigation among movable obstacles: real-time reasoning in complex environments
inferredcites →https://doi.org/10.1109/icra.2012.6225300openalex-snapshot
Proving path non-existence using sampling and alpha shapes
inferredcites →https://doi.org/10.1109/isatp.1999.782972openalex-snapshot
Placing a robot manipulator amid obstacles for optimized execution
inferredcites →https://doi.org/10.1109/robot.2001.932865openalex-snapshot
Disconnection proofs for motion planning
inferredcites →https://doi.org/10.1109/sfcs.1979.10openalex-snapshot
Complexity of the mover's problem and generalizations
inferredcites →https://doi.org/10.1142/s0219843605000545openalex-snapshot
NAVIGATION AMONG MOVABLE OBSTACLES: REAL-TIME REASONING IN COMPLEX ENVIRONMENTS
inferredcites →https://doi.org/10.1145/73393.73422openalex-snapshot
Motion planning in the presence of movable obstacles
inferredcites →https://doi.org/10.1177/0278364913507795openalex-snapshot
The minimum constraint removal problem with three robotics applications
inferredcites →https://doi.org/10.15607/rss.2010.vi.034openalex-snapshot
Incremental Sampling-based Algorithms for Optimal Motion Planning
inferredcites →https://doi.org/10.15607/rss.2011.vii.009openalex-snapshot
A Framework for Push-Grasping in Clutter
inferredcites →https://doi.org/10.1609/icaps.v20i1.13421openalex-snapshot
Coming Up With Good Excuses: What to do When no Plan Can be Found
inferredcites →https://doi.org/10.7551/mitpress/9123.003.0038openalex-snapshot
Incremental Sampling-based Algorithms for Optimal Motion Planning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-22216-0_11openalex-snapshot
Minimum Displacement Motion Planning for Movable Obstacles
inferred← citeshttps://doi.org/10.1007/978-3-031-44851-5_3openalex-snapshot
Revisiting the Minimum Constraint Removal Problem in Mobile Robotics
inferred← citeshttps://doi.org/10.1007/978-3-642-41610-1_176-1openalex-snapshot
Task and Motion Planning
inferred← citeshttps://doi.org/10.1007/978-4-431-55879-8_24openalex-snapshot
Decentralized Multi-agent Path Selection Using Minimal Information
inferred← citeshttps://doi.org/10.1007/s10514-023-10148-yopenalex-snapshot
Multi-robot geometric task-and-motion planning for collaborative manipulation tasks
inferred← citeshttps://doi.org/10.1007/s12065-019-00331-5openalex-snapshot
A polynomial time algorithm for big data in a special case of minimum constraint removal problem
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.02.047openalex-snapshot
Solving minimum constraint removal (MCR) problem using a social-force-model-based ant colony algorithm
inferred← citeshttps://doi.org/10.1016/j.robot.2025.105251openalex-snapshot
Locally optimal solutions to constraint displacement problems via path-obstacle overlaps
inferred← citeshttps://doi.org/10.1016/j.sysconle.2021.104895openalex-snapshot
Extent-compatible control barrier functions
inferred← citeshttps://doi.org/10.1109/case49997.2022.9926661openalex-snapshot
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning
inferred← citeshttps://doi.org/10.1109/humanoids.2014.7041499openalex-snapshot
Rearranging similar objects with a manipulator using pebble graphs
inferred← citeshttps://doi.org/10.1109/icra.2016.7487581openalex-snapshot
Efficiently solving general rearrangement tasks: A fast extension primitive for an incremental sampling-based planner
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161372openalex-snapshot
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation
inferred← citeshttps://doi.org/10.1109/irc.2018.00021openalex-snapshot
Multi-robot Scheduling and Path-Planning for Non-overlapping Operator Attention
inferred← citeshttps://doi.org/10.1109/iros40897.2019.8967548openalex-snapshot
Object Rearrangement with Nested Nonprehensile Manipulation Actions
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9340922openalex-snapshot
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9635906openalex-snapshot
Automata-based Optimal Planning with Relaxed Specifications
inferred← citeshttps://doi.org/10.1109/ojcsys.2023.3316090openalex-snapshot
Constrained Environment Optimization for Prioritized Multi-Agent Navigation
inferred← citeshttps://doi.org/10.1109/tro.2022.3191596openalex-snapshot
Sampling-Based Planning for Retrieving Near-Cylindrical Objects in Cluttered Scenes Using Hierarchical Graphs
inferred← citeshttps://doi.org/10.1109/tro.2025.3588449openalex-snapshot
Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation
inferred← citeshttps://doi.org/10.1109/urai.2018.8442210openalex-snapshot
Automated task planning using object arrangement optimization
inferred← citeshttps://doi.org/10.1142/s1793830922500550openalex-snapshot
Minimum constraint removal problem for line segments is NP-hard
inferred← citeshttps://doi.org/10.15607/rss.2015.xi.045openalex-snapshot
Dealing with Difficult Instances of Object Rearrangement
inferred← citeshttps://doi.org/10.15607/rss.2016.xii.002openalex-snapshot
Incremental Task and Motion Planning: A Constraint-Based Approach
inferred← citeshttps://doi.org/10.15607/rss.2017.xiii.051openalex-snapshot
High-Quality Tabletop Rearrangement with Overhand Grasps: Hardness Results and Fast Methods
inferred← citeshttps://doi.org/10.1609/socs.v6i1.18380openalex-snapshot
Computational Tradeoffs of Search Methods for Minimum Constraint Removal Paths
inferred← citeshttps://doi.org/10.29007/6jsvopenalex-snapshot
What if the World Were Different? Gradient-Based Exploration for New Optimal Policies
inferred← citeshttps://doi.org/10.3390/app16062842openalex-snapshot
Energy-Efficient Motion Planning for Repetitive Industrial Tasks: An Adaptive Obstacle Modeling Approach
inferred← citeshttps://doi.org/10.3390/robotics10020057openalex-snapshot
Scheduling and Path-Planning for Operator Oversight of Multiple Robots
inferred← citeshttps://doi.org/10.48550/arxiv.1404.6573openalex-snapshot
Similar Part Rearrangement With Pebble Graphs
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.