Which projects fit?
For multi-step robot tasks, resource-constrained scheduling and adaptation to changing environments. Define hard constraints and objectives before choosing planning and execution methods.
Mission Planning
Verifiable task planning that goes beyond demonstration scripts
Turn mission objectives into executable plans with replayable results.
What we provide
Planning delivery includes task definitions, constraints, execution feedback and infeasibility handling, not just an optimal path. New Horizon connects planners to simulation scenarios and uses fixed tasks to check feasibility, replanning and human takeover with traceable logs.
Last updated: 2026-10-13 · New Horizon Digital Outsourcing Team
View delivery and acceptance detailsCapability Highlights
- Replayable Planning Results
- Integration with Swarm Simulation
- Metric-driven iteration
Typical deliverables
- Planner Module
- Task Use Cases
- Simulation Validation
- Documentation
Delivery workflow
- 01 Task Modeling
- 02 Planner Implementation
- 03 Simulation Validation
- 04 Acceptance
Implementation References for This Domain
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Knowledge Guides
- How do you control permissions and unintended actions when connecting AI agents to business tools?
- How do you design reward functions for simulation-based reinforcement learning and prevent reward gaming?
- What acceptance checks are needed for datasets of synthetic simulation images used to train recognition models?
- How do you evaluate autonomous navigation agents, and why is one successful run not enough?
Case Studies
Engineering delivery brief
How are autonomous planning constraints and recovery verified?
What inputs are needed?
Provide goals, preconditions, capacities, time windows, maps or state spaces, action interfaces and acceptable failure behavior.
Applicability and Limits
A discovered plan does not prove safe physical execution. Assess planning quality with model error and execution feedback; reject infeasible tasks explicitly or hand them to an operator.
What drives time and cost?
State-space size, constraint types, event frequency, execution interfaces and evaluation scale drive duration. Fix a baseline and task distribution before assessing the value of a new strategy.
Deliverables and acceptance
Task and constraint definitions
Acceptance Evidence
Check preconditions, prohibited actions and budgets against operational rules.
Planning and execution chain
Acceptance Evidence
Test timeouts, interruption, resource changes, replanning and human takeover.
Comparative evaluation and logs
Acceptance Evidence
Record completion, constraint violations, duration and failure causes on the same task set, not only successes.
Related case study
Natural-Language Task Planning and Execution Validation in Simulation
Observe task interpretation, plan generation, and execution results in a virtual environment to verify whether an agent actually achieves its goal.
Read the full case studyFurther Reading and Technical References
Related standards and technical documentation for solution selection and implementation.
Discuss Autonomous Task Planning Services
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.