#Caltech’s #CAST & the #TII in #AbuDhabi unveiled X1—the world’s first #multirobot system that pairs a #humanoid #robot with a #drone that can launch from its back, then drive away on wheels. www.azorobotics.com/News.aspx?ne...
Latest posts tagged with #multirobot on Bluesky
#Caltech’s #CAST & the #TII in #AbuDhabi unveiled X1—the world’s first #multirobot system that pairs a #humanoid #robot with a #drone that can launch from its back, then drive away on wheels. www.azorobotics.com/News.aspx?ne...
Algorithm speeds multi-agent field coverage tenfold
A new algorithm for multi‑agent systems reportedly speeds up field‑coverage tasks by tenfold, according to the developers. Read more: getnews.me/algorithm-speeds-multi-a... #algorithm #multirobot #fieldcoverage
HEHA Introduces Hierarchical Planning for Multi‑Robot Exploration
HEHA’s hierarchical planning splits tasks into global PEAF routing and local path refinement, cutting total exploration time by up to 30% for mixed robot teams. Read more: getnews.me/heha-introduces-hierarch... #heha #multirobot #exploration
🚀🤖 La @ETSII UPM avanza en el proyecto INSERTION con pruebas exitosas de cooperación #multirobot en entornos acuáticos. UAV y USV trabajan juntos de forma autónoma en misiones reales.
👉 Innovación en acción: percepción, control y cooperación.
#Robótica #IA #UPM
Conflict-Based Search Protocol for Heterogeneous Multi‑Robot Planning
A new CBS protocol lets robots with different planners—A*, RRT, optimization, diffusion or RL—share space via a single-agent API, avoiding collisions. Read more: getnews.me/conflict-based-search-pr... #cbs #multirobot
AIM‑Mapping: AI Framework Enhances Multi‑Robot Exploration
AIM‑Mapping uses an asymmetric actor‑critic with privileged training data to improve multi‑robot exploration. In Gibson simulations it achieved higher coverage than prior methods. Read more: getnews.me/aim-mapping-ai-framework... #aimmapping #multirobot
ELHPlan Boosts Efficiency in Long‑Horizon Multi‑Robot Planning
ELHPlan introduces Action Chains to extend planning horizons while cutting token use to about 24% of prior state‑of‑the‑art methods, maintaining success rates on the TDW‑MAT benchmark. Read more: getnews.me/elhplan-boosts-efficienc... #multirobot #llm
Dynamic Multi‑Robot Coverage Path Planning Boosts Workload Balance
MDCPP, a dynamic multi‑robot coverage algorithm, uses Gaussian‑mixture workload estimates. Simulations show it reduces total coverage time versus fixed‑speed sweeps. getnews.me/dynamic-multi-robot-cove... #multirobot #coverage
Hybrid Safety Verification for Multi‑Agent Systems Using ψ‑Weighted CBFs
A ψ‑weighted control barrier function adds alignment between agents, and Monte Carlo tests yielded a PAC‑style safety guarantee preserving admissibility. Read more: getnews.me/hybrid-safety-verificati... #multirobot #safetyverification
CU-Multi Dataset Advances Multi-Robot Collaborative Perception
CU-Multi, a dataset from University of Colorado Boulder, offers four synchronized multi‑day runs with RGB‑D, RTK GPS and semantic LiDAR across two outdoor sites, recorded 23 Sep 2025. Read more: getnews.me/cu-multi-dataset-advance... #cumulti #multirobot
FlyKites enables multi‑robot exploration with limited communication
FlyKites enables robot teams to explore underground by alternating spread mode for frontier coverage with relay mode that re‑optimizes the communication chain on operator request. getnews.me/flykites-enables-multi-r... #flykites #multirobot
Explainable AI Supervisory Control Improves Multi‑Robot Safety
Explainable AI with proven controllers cut tracking error by 21.7% and energy use by 81.4% in spacecraft formation tests, and demonstrated disturbance rejection for AUVs. getnews.me/explainable-ai-superviso... #explainableai #robotics #multirobot
Online Multi-Robot Coordination with Task Precedence Relationships
Algorithms let robots coordinate tasks using network‑flow and re‑allocation; simulation showed recovery from robot failures and near‑optimal rewards. Read more: getnews.me/online-multi-robot-coord... #multirobot #taskcoordination #networkflow
Multi‑CAP Introduces Connectivity‑Aware Planning for Multi‑Robot Coverage
Multi‑CAP builds a connectivity graph and assigns subareas via a Vehicle Routing Problem, achieving reduced coverage time and shorter combined path length in tests. Read more: getnews.me/multi-cap-introduces-con... #multirobot #coverage
Sequential World Models Boost Multi-Robot Cooperation
SeqWM splits multi‑robot prediction into sequential steps, achieving higher scores with fewer steps in Bi‑DexHands and Multi‑Quad simulations and enabling obstacle crossing on real quadruped robots. getnews.me/sequential-world-models-... #seqwm #multirobot
Multi‑Robot Task Planning with Large Language Models
A new framework using LLMs assigned subtasks to the most suitable robot, correctly handling 47 of 50 multi‑object retrieval tests, vs 28 for random allocation. Read more: getnews.me/multi-robot-task-plannin... #multirobot #llm #robotics
📣 Don’t forget:
🌟 Early Career Spotlight with Zac Manchester at 11AM
🎤 Keynote by Trevor Darrell this afternoon at 3PM!
Let’s keep it going! 💥
#RSS2025 #RoboticsConference #HRI #MultiRobot #Manipulation #MobileRobotics #Control #Keynote #EarlyCareer
DREAM, a real-time multi-robot navigation framework handling cluttered environments with uncertain communication and obstacle dynamics. The system explicitly accounts for interactive obstacles while maintaining robust performance.
ieeexplore.ieee.org/document/10771711
#MultiRobot #Navigation