Why Multibody Dynamics Simulation Belongs in Every Robotics Leader's Toolkit

The Hidden Cost of "Good Enough" Design Tools

Industrial robots are getting faster, lighter, and more capable, but the tools many teams still use to design them haven't kept pace. Trajectory planners built on kinematics or simplified dynamics were adequate when robots were heavier and slower. Today, as engineering teams push for higher speeds and lighter components to gain a competitive edge, those same tools miss the physical realities that now determine success: arm deflection, gear backlash, structural vibration, and thermal drift. For product leaders, that gap translates directly into schedule risk and unplanned cost.

Where Traditional Methods Break Down

Consider what's actually at stake. A 5% speed advantage can be the difference between winning and losing a customer. To get there, engineering teams reach for higher-torque motors and lighter arms, but both choices increase vibration risk and make joint-force predictions harder to trust. Analytical equations can theoretically solve for link flexibility, but the math gets exponentially harder as workspace and movement complexity grow, consuming scarce engineering. Meanwhile, collaborative robot programs need accurate collision-force data to protect human operators, and systems integrators have flagged cable management as the leading cause of robot-cell downtime, yet conventional methods can't predict cable behavior until a physical prototype exists.

The pattern across all of these challenges is the same: critical dynamic information doesn't surface until late in the design cycle, when a prototype is built and tested. By then, design changes are expensive, schedules are tight, and teams are forced to limit the number of alternatives they can evaluate, capping the performance ceiling of the finished product.

A Different Approach: Simulate the Whole System, Early

Cadence's Adams multibody dynamics (MBD) software addresses this by modeling the complete robot's rigid and flexible bodies, gears, bearings, motors, joints, and control algorithms as one integrated system, long before a prototype exists. This isn't a narrow point solution; it's a full-system view of how a robot will actually behave under real operating loads.

That system-level visibility lets engineering teams:

• Calculate trajectory with far greater accuracy by accounting for arm and gear deformation rather than assuming rigid-body motion.
• Predict component loads early, enabling confident lightweighting decisions without guessing at safety margins.
• Identify natural frequencies and vibration risk before they become field issues.
• Model gear backlash, rattle, and friction to protect precision positioning.
• Co-simulate control algorithms alongside the mechanical design using Easy5 or MATLAB/Simulink, instead of waiting for hardware to validate control logic.
• Simulate cable behavior and collision forces directly addressing two of the costliest late-stage surprises in robot programs.

The Value for Design Engineering Leaders

For engineering leaders, the value proposition is straightforward: every dynamic issue caught in simulation is an issue that doesn't consume prototype cycles, testing time, or redesign budget. Adams allows teams to explore many more design and control variants than physical iteration ever could, and via design-of-experiments capabilities, to optimize multiple parameters simultaneously rather than sequentially.

The result is a shorter path from concept to a validated, high-performing design. In a market where speed, precision, and cost define competitiveness, teams equipped with Adams aren't just building better robots; they're building them faster, with fewer resources spent discovering problems the hard way.

Read our whitepaper 'Industrial Robot Simulation for Faster, More Accurate Robots' for more info.

Check out Cadence's multibody dynamics simulation solution, Adams, here.